C&C activities on Cold Tuning Systems

A D E X

EuCARD-2/MAX Accelerators for ADS WorkshopI. Martín & N. Gandolfo

C&C activities on Cold Tuning Systems

EuCARD-2/MAX Accelerators for ADS Workshop , 20th–21st Mach 2014, Geneva

A D E X ADEX: The Methodology

I.I. GENERAL CONTROL STRATEGYGENERAL CONTROL STRATEGY


A D E X Adaptive Predictive Control




In the actual “state of the art”, control systems are designed in a context of certainty, where a precise model of the process to control has been previously developed. The performance of the designed control system in the model context is optimal.

However, the fragility of this conception is that, in fact, reality is not a dream, which means that the process behavior deviates from the model and when this happens the control system introduces instability into the real process and the control performance deteriorates.

Due to its adaptive nature, ADEX technology allows for the design of the control system in a context of uncertainty, that is to say, no knowledge of the process dynamic is required, thus no need for a previous model nor for the knowledge of the changes in the process dynamics. And in this context, the ADEX controller adjusts in real time to the process dynamics and their variations with time, guaranteeing process stability and sustained optimal performance.


II.II. OPTIMIZED ADAPTIVE COLD TUNING SYSTEMOPTIMIZED ADAPTIVE COLD TUNING SYSTEM

CONTROL STRATEGYCONTROL STRATEGY


A D E X

SET POINT DESIREDOUTPUT

CONTROLSIGNAL

DRIVER PREDICTIVEMODELBLOCK

PROCESS

ADEX: The Methodology

PROCESSOUTPUT

ADAPTIVE PREDICTIVE EXPERT CONTROL IN BRIEFADAPTIVE PREDICTIVE EXPERT CONTROL IN BRIEF


A D E X

SET POINT DESIREDOUTPUT

CONTROLSIGNAL

DRIVER PREDICTIVEMODELBLOCK

PROCESS

ADAPTIVEMECHANISM

ADEX: The Methodology

PROCESSOUTPUT

ADAPTIVE PREDICTIVE EXPERT CONTROL IN BRIEFADAPTIVE PREDICTIVE EXPERT CONTROL IN BRIEF

ADAPTIVE PREDICTIVE EXPERT ADAPTIVE PREDICTIVE EXPERT CONTROLLERCONTROLLER


A D E X

ADEX CONTROLLER

FREQUENCY DAMPER(80 Hz)


PV OUT

SP



ADEX CONTROLLER



PV OUT

SP

FREQUENCY DAMPERSFREQUENCY DAMPERS


A D E X

CHEBYSHEV FILTER 1

PASSBAND FILTER

PROCESSGSP

PV

+-

CHEBYSHEV FILTERSCHEBYSHEV FILTERS


A D E X

OPTIMIZED ADAPTIVE CONTROL STRATEGYOPTIMIZED ADAPTIVE CONTROL STRATEGY



ADEXCONTROLLER



+PV

CHEBYSHEV FILTER1 (1 Hz)

CHEBYSHEV FILTER 2 (70 Hz)

CHEBYSHEV FILTER 3 (120 Hz)

+SP-PV

OUT

SP

LORENTZ FORCES ANTICIPATION BLOCK

Eacc (DLLRF)

+



CONTROL STRATEGY: SIMULATION RESULTSCONTROL STRATEGY: SIMULATION RESULTS

38% MEAN SQUARE DEVIATION REDUCTION

4% POWER CONSUMPTION REDUCTION



III.III. CTS CONTROL PLATFORM CTS CONTROL PLATFORM

HARDWARE STRUCTURE FOR THE CONTROL STRATEGY IMPLEMENTATION HARDWARE STRUCTURE FOR THE CONTROL STRATEGY IMPLEMENTATION



CTS PLATFORM: HARDWARE STRUCTURECTS PLATFORM: HARDWARE STRUCTURE

dsPIC - IPNO

ADQ + PID

FPGA - ADEX

Filtering, Lorentz …

DELFINO TI - ADEX

Adaptive Controller



CTS CONTROL PLATFORM: CONTROL STRATEGY CTS CONTROL PLATFORM: CONTROL STRATEGY IMPLEMENTATION IMPLEMENTATION

Execution every 200 μs

Execution every 2 ms



CTS PLATFORM: HARDWARE IN THE LOOP VALIDATIONCTS PLATFORM: HARDWARE IN THE LOOP VALIDATION

(CNRS Simulation)

(dsPIC Simulation)

(Filters, Lorentz…)

(ADEX Controller)



IV.IV. TEST CAMPAIGNTEST CAMPAIGN



MAX 6th General Meeting, 16th November 2013, Capri

CURRENT STATUS:TESTS CAMPAIGN


THANKSTHANKS


Documents

C&C activities on Cold Tuning Systems