6
Nonlinear State Space Model of a Hydraulic Wind Power Transfer Sina Hamzehlouia, and Afshin Izadian, Senior Member, IEEE Abstract- Nonl inearities i n gearless hydraul i c w ind power transfer are originated by operation of discrete elements such as check valves, proportional and directional valves, and leakage factor of h y draulic pumps and motors. Nonlinearities cause behavioral change in the s y stem. This paper introduces a nonlinear state space representation of a h y draulic wind energ y transfer s y stem. A rate-limit controller is designed to regulate the proportional valve position to maintain the primar y motor's reference angular velocit y . The performance of the controller is verified with simulation results. The simulation response demonstrates accurate modeling of the s y stem operation and close tracking of the reference angular velocit y profile. I. INTRODUCTION H YDRAULIC gearless wind energy transfer offers several advantages over geared power transfer system counterparts . Conventional horizontal axis wind turbines (HAWT) consist of a rotor to convert the wind energy into rotating shaſt [1]. This rotor is connected to a drivetrain, gearbox, and electric generator, which are integrated in a nacelle located at the top of tower. These components, specifically the variable speed gearbox, are expensive, bulky, and require regular maintenance, which makes the wind energy production expensive. In addition, locating the gearbox and generator at such height encounters high expenses associated with maintenance. In addition, since gearboxes accommodate a considerable number of moving parts, more recurrent and pricey maintenance is expected for wo out part replacement and lubricant degradation compensation. Moreover, while the typical expected lifetime of a utility wind turbine is 20 years, gearboxes require an overhaul within 5 to 7 years of operation, where a gearbox replacement could cost approximately 10 percent of the turbine cost [2]. In order to address the shortcomings associated with the conventional wind energy transfer system, a hydraulically connected energy transfer is proposed [3-6]. In this method, the gearbox is replaced with a hydraulic pump, which is coupled with the wind turbine to generate high-pressure hydraulic fluid in the system. This flow can be used to drive a number of generators shown in Figure 1. When controlled, the Muscript received March 15, 2012. This work was supported by TUPUI RSFG Funds and a grant om the Solution Center, and was conducted at Izadian's Lab, Purdue School of Engineering and Technology, IUPUl. S. Hamzelouia, d A. Izadi are with the Purdue School of Engineering and Technology, IUPUI, Indianapolis, . 46202. Email: izadian @ieee.org. hydraulic flow is distributed between two hydraulic motors coupled with electric generators to supply electric power to the grid. Unlike traditional wind power generation, this technique integrates many of the individual tower equipment into a central energy generation unit. This reduces the cost of power generation and maintenance. The gearless configuration also allows for collecting of energy of multiple wind turbines into a central generation unit. The hydraulic circuitry, shown in Figure 1, consists of several inherently non-linear components, which result in the nonlinear system response and variations. The nonlinear state space representation of the hydraulic wind energy transfer system is derived om the component level dynamics of ordinary differential equations associated with the components. The key advantages of the state space representation comprise of detailed mathematical demonstration of the system, incorporation of initial conditions into solution, representation of interrelation of the system equations, suitability for multiple input-multiple output (MIMO) system illustration, and superior computational efficiency for computer implementation [7]. The prime mover of this hydraulic energy transfer unit, the wind turbine, also experiences the intermittent nature of wind. This imposes fluctuation on generators and driſts their angular velocity and consequently the generated power. To mitigate the effect of the output power fluctuations, different control techniques are applied to regulate the generated power [8-10]. Optimal speed control of hydraulic systems [11], [12] has been introduced which are used for displacement control of hydraulic cylinders. However, to accelerate the control process and decrease the effect of hydraulic system on energy transfer a rate limit sliding controller is introduced. This paper introduces nonlinear model of hydraulic circuit components, and provides a nonlinear state space representation of the hydraulic wind energy transfer. A rate limit sliding controller is designed to regulate the proportional valve position to maintain the reference primary motor angular velocity. II. HYDRAULIC WIND ENERGY TNSFER SYSTEM The hydraulic wind power transfer system consists of a fixed displacement pump driven by the prime mover (wind turbine) and one or more fixed displacement hydraulic motors. The hydraulic transmission uses the hydraulic pump to convert the mechanical input energy into pressurized fluid and 978-1-4673-2421-2/12/$31.00 ©2012 IEEE 1098

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Page 1: Nonlinear State Space Model of a Hydraulic Wind Power Transferet2.engr.iupui.edu/~aizadian/index_files/Papers/C-46.pdf · Nonlinear State Space Model of a Hydraulic Wind Power Transfer

Nonlinear State Space Model of a Hydraulic

Wind Power Transfer

Sina Hamzehlouia, and Afshin Izadian, Senior Member, IEEE

Abstract- Nonlinearities in gearless hydraulic wind power transfer are originated by operation of discrete elements such as check valves, proportional and directional valves, and leakage factor of hydraulic pumps and motors. Nonlinearities cause behavioral change in the system. This paper introduces a nonlinear state space representation of a hydraulic wind energy transfer system. A rate-limit controller is designed to regulate the proportional valve position to maintain the primary motor's reference angular velocity. The performance of the controller is verified with simulation results. The simulation response demonstrates accurate modeling of the system operation and close tracking of the reference angular velocity profile.

I. INTRODUCTION

HYDRAULIC gearless wind energy transfer offers several advantages over geared power transfer system counterparts . Conventional horizontal axis wind turbines

(HA WT) consist of a rotor to convert the wind energy into rotating shaft [1]. This rotor is connected to a drivetrain, gearbox, and electric generator, which are integrated in a nacelle located at the top of tower. These components, specifically the variable speed gearbox, are expensive, bulky, and require regular maintenance, which makes the wind energy production expensive. In addition, locating the gearbox and generator at such height encounters high expenses associated with maintenance. In addition, since gearboxes accommodate a considerable number of moving parts, more recurrent and pricey maintenance is expected for worn out part replacement and lubricant degradation compensation. Moreover, while the typical expected lifetime of a utility wind turbine is 20 years, gearboxes require an overhaul within 5 to 7 years of operation, where a gearbox replacement could cost approximately 10 percent of the turbine cost [2].

In order to address the shortcomings associated with the conventional wind energy transfer system, a hydraulically connected energy transfer is proposed [3-6]. In this method, the gearbox is replaced with a hydraulic pump, which is coupled with the wind turbine to generate high-pressure hydraulic fluid in the system. This flow can be used to drive a number of generators shown in Figure 1. When controlled, the

Manuscript received March 15, 2012. This work was supported by TUPUI RSFG Funds and a grant from the Solution Center, and was conducted at Izadian's Lab, Purdue School of Engineering and Technology, IUPUl.

S. Hamzelouia, and A. Izadian are with the Purdue School of Engineering and Technology, IUPUI, Indianapolis, IN. 46202. Email: [email protected].

hydraulic flow is distributed between two hydraulic motors coupled with electric generators to supply electric power to the grid. Unlike traditional wind power generation, this technique integrates many of the individual tower equipment into a central energy generation unit. This reduces the cost of power generation and maintenance. The gearless configuration also allows for collecting of energy of multiple wind turbines into a central generation unit.

The hydraulic circuitry, shown in Figure 1, consists of several inherently non-linear components, which result in the nonlinear system response and variations. The nonlinear state space representation of the hydraulic wind energy transfer system is derived from the component level dynamics of ordinary differential equations associated with the components. The key advantages of the state space representation comprise of detailed mathematical demonstration of the system, incorporation of initial conditions into solution, representation of interrelation of the system equations, suitability for multiple input-multiple output (MIMO) system illustration, and superior computational efficiency for computer implementation [7].

The prime mover of this hydraulic energy transfer unit, the wind turbine, also experiences the intermittent nature of wind. This imposes fluctuation on generators and drifts their angular velocity and consequently the generated power. To mitigate the effect of the output power fluctuations, different control techniques are applied to regulate the generated power [8-10]. Optimal speed control of hydraulic systems [11], [12] has been introduced which are used for displacement control of hydraulic cylinders. However, to accelerate the control process and decrease the effect of hydraulic system on energy transfer a rate limit sliding controller is introduced.

This paper introduces nonlinear model of hydraulic circuit components, and provides a nonlinear state space representation of the hydraulic wind energy transfer. A rate limit sliding controller is designed to regulate the proportional valve position to maintain the reference primary motor angular velocity.

II. HYDRAULIC WIND ENERGY TRANSFER SYSTEM

The hydraulic wind power transfer system consists of a fixed displacement pump driven by the prime mover (wind turbine) and one or more fixed displacement hydraulic motors. The hydraulic transmission uses the hydraulic pump to convert the mechanical input energy into pressurized fluid and

978-1-4673-2421-2/12/$31.00 ©2012 IEEE 1098

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hydraulic hoses and steel pipes are used to transfer the harvested energy to the hydraulic motors [13].

A schematic diagram of a wind energy hydraulic transmission system is illustrated in Figure 1. As the figure demonstrates, a fixed displacement pump is mechanically coupled with the wind turbine and supplies pressurized hydraulic fluid to two fixed displacement hydraulic motors. The hydraulic motors are coupled with electric generators to produce electric power in a central power generation unit. Since the wind turbine generates a large amount of torque at a relatively low angular velocity, a high displacement hydraulic pump is required to flow high-pressure hydraulics to transfer the power to the generators. The pump might also be equipped with a fixed internal speed-up mechanism. Flexible high­pressure pipes/hoses connect the pump to the piping toward the central generation unit.

Fig. 1. Schematic of the high-pressure hydraulic power transfer system. The hydraulic pump is in a distance from the central generation unit.

The hydraulic circuit uses check valves to insure the unidirectional flow of the hydraulic flows. A pressure relief valve protects the system components from the destructive impact of localized high-pressure fluids. The hydraulic circuit contains a specific volume of hydraulic fluid, which is distributed between hydraulic motors using a proportional valve. In the next section, the governing equations of the hydraulic circuit are obtained.

III. NONLINEAR MODEL OF COMPONENTS

The dynamic model of the hydraulic system is obtained by using the governing equations of the hydraulic components in an integrated configuration. The governing equations of the hydraulic motors and pumps to calculate flow and torque values [14-16] are utilized to express the closed loop hydraulic system behavior.

A. Fixed Displacement Pump

Hydraulic pumps deliver a constant flow determined by

Qp = DpOJp -kL,pPp' where Qp is the pump flow delivery, Dp is the

displacement, kL,p is the pump leakage coefficient, and

the differential pressure across the pump defined as

(1)

pump

�) is

Pp=P,-Pq' (2)

where p and P are gauge pressures at the pump terminals, I q

The pump leakage coefficient is a numerical expression of the hydraulic component probability to leak as

kL,p = KHp,p/ pv, (3)

where p is the hydraulic fluid density and v is the fluid

kinematic viscosity, K is the pump Hagen-Poiseuille HP,p coefficient and is defined as

K _ DpOJnom,p(l-17vol,p)vnomP Hp,p - ,

Pnom,p (4)

where OJ is the pump's nominal angular velocity, vnom is nom,p the nominal fluid kinematic viscosity, P is the pump's nom,p nominal pressure, and 17 .. ol,p efficiency. Finally, torque at obtained by

is the pump's volumetric

the pump-driving shaft is

(5)

where 17mech,p is the pump's mechanical efficiency and is

expressed as

17mech,p =17total,P/17vOI,P'

B. Fixed Displacement Motor Dynamics

(6)

The flow and torque equations are derived for the hydraulic motor using the motor governing equations, The hydraulic flow supplied to the hydraulic motor can be obtained by

(7)

where Qm is the motor flow delivery, Dm is the motor

displacement, kL,m is the motor leakage coefficient, and p". is

the differential pressure across the motor

(8)

where � and � are gauge pressures at the motor terminals.

The motor leakage coefficient is a numerical expression of the hydraulic component possibility to leak, and is expressed as follows

(9)

where p is the hydraulic fluid density and v is the fluid

kinematic viscosity. KHp,/11 is the motor Hagen-Poiseuille

coefficient and is defmed as

(10)

where OJ is the motor's nominal angular velocity, vna'" is lIom,m the nominal fluid kinematic viscosity, Pnoll/,m is the motor

nominal pressure, and 17vol,m is the motor's volumetric

efficiency. Finally, torque at the motor driving shaft is obtained by

T" = Dm�,17mech,m ' (11)

where 1Jmech,m is the mechanical efficiency of the motor and is

expressed as

17mech,m = 17lolal,m /17 .. ol,m . (12)

1099

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The total torque produced in the hydraulic motor is expressed as the sum of the torques from the motor loads and is given as

T", = � + TB + TL ' (13)

where 1',1/ is total torque in the motor and T[, Ts' TL represent

inertial torque, damping friction torque, and load torque, respectively. This equation can be rearranged as

T",-TL = 1m (dOJm/dt) + BmOJm , (14)

where 1m is the motor inertia, OJm is the motor angular

velocity, and Bill is the motor damping coefficient.

C. Hose Dynamics

The fluid compressibility model for a constant fluid bulk modulus is expressed in [17]. The compressibility equation represents the dynamics of the hydraulic hose and the hydraulic fluid. Based on the principles of mass conservation and the definition of bulk modulus, the fluid compressibility within the system boundaries can be written as

Qc = (V/fJ)(dP/dt), (15)

where v is the fluid volume subjected to pressure effect, j3 is

the fixed fluid bulk modulus, P is the system pressure, and Qc is the flow rate of fluid compressibility expressed as

Qc = Qp - QIII· (16)

Hence, the pressure variation can be expressed as dP/dt = ( Qp - Qm)fJ/V. (17)

D. Pressure Relief Valve Dynamics

Pressure relief valves are used for limiting the maximum pressure in hydraulic power transmission. A dynamic model for a pressure relief valve is presented in [18]. A simplified model to detennine the flow rate passing through the pressure relief valve in opening and closing states [17] is obtained by

_{kl'(P-PJ,P > P., Qpn, -

0 ,P::;' P..' (18)

where k" is the slope coefficient of valve static characteristics,

P is system pressure, and P" is valve opening pressure.

E. Check Valve Dynamics

The purpose of the check valve is to permit flow in one direction and to prevent back flows. Unsatisfactory functionality of check valves may result in high system vibrations and high-pressure peaks [19]. For a check valve with a spring preload [20], the flow rate passing through the check valve can be obtained by

_jClb

(P - PJAdisc ' P > PI'

Qcv - ks ,

o ,P<s'p" (19)

where Qcv is the flow rate through the check valve, C is the

flow coefficient, lb is the hydraulic perimeter of the valve

disc, P is the system pressure, P" is the valve opening

pressure, Adisc is the area in which fluid acts on the valve disc,

and ks is the stiffness of the spring.

F. Proportional Valve Dynamics Directional valves are mainly employed to distribute flow

between rotary hydraulic components. The dynamic model of a directional valve is categorized into two divisions, namely the control device and the power stage. The control device adjusts the position of the valve's moving membrane, while the power stage controls the hydraulic fluid flow rate.

A directional valve model is represented in [21] by specifying the valve orifice maximum area and opening. The

hydraulic flow through the orifice Qpv is calculated as

Qpv = CdA1 � I PI sgn(P), (20)

where Cd represents the flow discharge coefficient, p is the

hydraulic fluid density, P indicates the differential pressure across the orifice, and A is the orifice area and is expressed as

A = �nax h, (21) hmax

where Amax represents the maximum orifice area, hmax denotes the maximum orifice opening, and h indicates the orifice opening and is obtained from

(22)

where hi-1 is the previous orifice opening, and Xl denotes the

variations to the orifice opening which is applied to the proportional valve.

Proportional Valve

Qp '-===::::::!"'--, '------+I Compressibility p r

Fig. 2. Hydraulic wind energy harvesting model schematic diagram.

The overall hydraulic system can be connected as modules to represent the dynamic behavior. Block diagrams of the wind energy transfer using MATLAB Simulink are demonstrated in Figure 2. The model incorporates the mathematical governing equations of individual hydraulic circuit components. The bulk modulus unit generates the pressure of the system.

IV. STATE SPACE MODEL

The nonlinear state space representation of the system is derived from the dynamic equations introduced in previous

1100

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section. The key advantages of the state space representation comprise of detailed mathematical demonstration of the system that incorporates initial conditions into solution, and represents the interrelation of the system equations, suitability for multiple input-multiple output (MIMO) system illustration, and superior computational efficiency for computer implementation [20].

Consider a simplified hydraulic power transfer system where the pump flow is distributed between two hydraulic motors based on the position of the proportional valve. The flow of the rotary hydraulic components are obtained by

Qp = DpOJp - kL.pPp' (23)

QmA = Cd �max hi� 2 I�) I sgn(Pp)' (24)

max P

QmB = Cd Amax (hmax - hi )� 2 I Pp I sgn(Pp)' (25) hmax P

where the properties associated with the primary motor are represented with the mA subscript while the properties affiliated with the auxiliary motor are denoted with the mB subscript. According to the compressibility equations and hose dynamics

Qc = (V/fJ)(dP/dt), (26)

Qc = Qp -QmA -QmB' Hence,

dP/dt = (Qp -QmA -QmB)(fJ/V). Substituting equations (23-25) into (28)

dPp/ dt = [DplUp - kL,pPp - Cd Ama, h) 2 I Pp I sgn(Pp) hmax P

-Cd �::: (hma, - h)� � I Pp I sgn(Pp)](,B/V).

(27)

(28)

(29)

Hydraulic motor gauge pressures are calculated from equation (7) as

(30)

(31)

Substituting equations (24-25) into equations (30) and (31) yields

A � PmA=(Cd � hi - I Pplsgn(Pp) -DmAlUmA ) /kL,mA' (32) hm" P

P =(C Am" (h -h)��IP I n(P )-D )/k IIIB d h max I p sg P IIIBOJIIIB L,IIIB: max P (33)

According to equations (11-14) and assuming a negligible torque load (� = 0 )

DmP,,/lmechm = Im(dOJm/dt) + BmOJm' (34)

By deriving the above equation for both the primary and auxiliary motors, the velocity dynamics will be obtained as

DmAp",A'lmech mA = ImA (dOJmA / dt) + BmAOJmA· (35)

Rephrasing the above equation leads to

d OJmA / dt = (DmAp",A'lmech.mA -BmAOJmA) / ImA. (36)

Similarly for the auxiliary motor

d OJmB / dt = (DmBp",B'lmech mB -BmBOJmB) / 1mB" (37)

Substituting equations (29-30) into equations (33-34)

dlUmA / dt = [DmA«Cd �ax hi� 2 I Pp I sgn(Pp ) hmax P (38)

Consequently, equations (29), (38), and (39) represent the nonlinear state space model. In general, the nonlinear state space model of a system is

x = I(x) + g(x)U, y = hex).

(40)

where x is the state vector, y is the output vector, U is the

input vector, f(x) is an input independent function vector of the states, g(x) is the input dependent function matrix of the

state variables, and hex) is the output function. The inputs to the hydraulic system are lU the angular velocity of the p

hydraulic pump, and hi the position of the proportional valve.

The state variables are the differential pressure, the primary motor angular velocity, and the auxiliary motor angular velocity. By rearranging the equation, the following state space model is achieved

X=[::A]'U =[{:�J. (41) OJIIIB

( -kL,p PI' - C A", �� I PI' I sgn( PI') ]c,B/V) I(x) = (-Dm'/llimA17meci"mA / kL,mA - BmAllimA)/ ImA

( D mBc dA"", �� I PI' I sgn( PI' )17m"",mB / kL,mB -Dmn'llimB17me"h,mB / kL,mB - BmBllimB J / 1mB

g(x) = o

D C A",,, �I P I n(P) I k I iliA d -h - - p sg p !J mech.mA L.IIIA iliA

"''' P

1101

(42)

(43)

Page 5: Nonlinear State Space Model of a Hydraulic Wind Power Transferet2.engr.iupui.edu/~aizadian/index_files/Papers/C-46.pdf · Nonlinear State Space Model of a Hydraulic Wind Power Transfer

In summary, this section represented a nonlinear state space model of the hydraulic wind power transfer system. The dynamic ODE equations of the hydraulic system modules were transformed into a nonlinear state space demonstration.

v. RATE LIMIT SLIDING CONTROLLER DESIGN

This section introduces a rate-limiter sliding (RLS) controller to regulate the flow of hydraulic liquid to the main hydraulic motor by adjusting the position of the proportional valve. The flow regulation should maintain a specified angular velocity of the primary motor to retain the frequency of the electricity generated by the electric generator coupled with the primary motor at a definite proximity. Figure 4 represents the diagram of the RLS controller. The RLS controller estimates the error between the reference angular velocity and primary pump angular velocity. If the speed error is positive, then the controller sends a negative displacement step signal to the valve to close the valve and track the reference velocity. If the error is negative, the controller opens the valve by sending a positive increment step displacement signals to the valve. The excess flow is directed to the auxiliary motor and the flow of energy is captured. Figure 4 shows the structure of the RLS controller. The step values are designed to maintain system stability while both fast response and error mitigation criteria are fulfilled.

r- L-----'-"'-'-'--' : i

Primary Motor

Pump Angulu RLS Vclocily 1------'---->1 Controller

! V.h't" Displlc('nU'Dt j t ___________________________________________________________________________________________________________ J

Fig. 3. The diagram of the RLS control closed loop system.

Rrrcr('nt'c

Angubr Velocit)'

Pump Anguhlf

\'('Iodly

RLS Controller

Error

+

Fig.4. The RLS controller structure.

Switch

V.ln:'

Di�plutm('nt

VI. SIMULATION RESULTS AND DISCUSSION

The intermittent nature of wind imposes fluctuation on the wind power generation and consequently varies the primary hydraulic motor angular velocity. This angular velocity variation results in the fluctuation of the generated electric power. The preceding section introduced a control scheme to mitigate system output fluctuations by applying a control command to the valve to enforce a flow distribution between the hydraulic motors.

In order to substantiate the efficiency of the proposed nonlinear state space model of the hydraulic wind power transfer system, a model of the nonlinear state space system was created in MA TLAB/Simulink®. A specific pump angular velocity profile was supplied to the simulation model to verify the reference primary motor angular velocity tracking. Table 1 illustrates the simulation parameter values

and their units. TABLE 1

SrMuLA TlON PARAMETERS

Symbol QUANTITY Value

Dp Pump Displacement 0. 517

DmA Primary Motor 0.097 Displacement

DmB Auxiliary Motor 0.097 Displacement

1mA Primary Motor Inertia 0.0005

1mB Auxiliary Motor Inertia 0.0005

BmA Primary Motor Damping 0.0026

BmB Auxiliary motor Damping 0.0022

KL.p Pump Leakage Coefficient 0.01 KL.mA Primary Motor Leakage 0.001

Coefficient

KL.mB Auxiliary Motor Leakage 0.001 Coefficient

rltola/ Pump/Motor Total Efficiency

0.90

171'0/ Pump/Motor Volumetric Efficiency

0.95

fJ Fluid Bulk Modulus 183695

P Fluid Density 0.0305

v Fluid Viscosity 7.12831

Unit

in3/rev in3/rev

kg.m2

kg.m2

N.m/(rad/s) N.m1(rad/s)

psi

Ib/in3 cSt

In simulations, a fixed displacement pump with a displacement of 0.517 in31rev supplies hydraulic fluid to a primary motor (Motor A) and an auxiliary motor (Motor B) both with fixed displacements of 0.097 in3lrev. Figure 5 displays the angular velocity profile which is supplied to the hydraulic pump as a step input from 300rpm to 400rpm, and from 400rpm back to 300rpm. Figure 6 and 7 depict the angular velocity of the primary motor and auxiliary motor without the application of the control strategy.

In this configuration, the valve position was adjusted to the middle point in which the hydraulic fluid was distributed evenly among the motors. Since the hydraulic motors were geometrically similar, the only considerable dissimilarity between the two was the damping coefficient of the motors which resulted in a slight divergence of the angular velocities. Figures 8-11 illustrate the simulation results with application of the control technique. Figure 8 shows the reference angular velocity tracking of the primary motor. The figure demonstrates the successful operation of the controller to maintain the reference angular velocity and mitigate the steady state error at the motor output. The valve was opened to increase the motor angular velocity and closed to reduce the motor angular velocity. The step response resulted in a 0.13 second rise time and a 0.14 second 2% settling time. Figure 9 shows the angular velocity variation of the auxiliary motor to accommodate reference tracking of the primary motor angular velocity. Figure lO displays the controller effort to regulate the valve position to maintain the reference pump angular velocity. Figure 11 shows the position variation of the valve at the step response

1102

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60 0

50 0

40 0

30 0

20 0

10 0

0

Pump Angular Velocity

! I I simulation results from a model created by MA TLAB. The simulation response demonstrated a close tracking profile of the reference angular velocity.

ACKNOWLEDGMENT

This work was supported by a grant from the IUPUI nm'i" Solution Center.

Fig. 5. Hydraulic pump angular velocity profile. Primary Motor Angular Velocity Auxiliary Motor Angular Velocity

1500r--�---'----�-_

E .; 1000

.g � 500

Time [s]

Fig. 6. Primary motor angular velocity without the control technique.

E �

� � :;; <

PrimuyMolorAngularV.locHy

1�,---,--_--,---,

1000

800

800

400

200

.. -

-

-

-PrimuyMotor AngularV.lotity

----- Rtlerence Angular V.loclty

°oL--�==========�_ Tlm.[s]

Fig. 8. Primary motor angular velocity reference tracking.

0.5

-0.5

-1

1500r-----,---------,--�----,

OL--�-�--�-� o

Time (51

Fig. 7. Auxiliary motor angular velocity without the control technique.

1500

1000

500

Time (5]

Fig. 9. Auxiliary motor angular velocity

with controls.

Proportional Valve Pos�ion 0.4,----_--_-_------,

Fig. 10. Controller effort to maintain Fig. II. Valve position controlled by the

reference tracking. The duty cycle is MRAC.

supplied to a 3-way proportional valve to distribute flow between the hydraulic

motors in the plant to fulfill angular

velocity requirements.

In sununary, the results demonstrated the performance of the hydraulic energy transfer system with the RLS controller application for a MATLAB/Simulink® simulation model. A specific angular velocity profile was supplied to the hydraulic pump in the model and a reference primary motor angular velocity was maintained. The closed-loop system characteristics such as rise time, settling time and percentage of overshoot demonstrate high performances of the control system.

VII. CONCLUSION

This paper introduced a nonlinear state space representation of a hydraulic wind energy transfer system. A rate-limited sliding (RLS) controller was designed to maintain a reference electric generator angular velocity and mitigate the electric power variability caused by the fluctuation of the wind speed. The high performance of the controller was verified with

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