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Twin-VCM Controller Design for the Nutator System with Evolutionary Algorithms

Author(s): Hsieh Sheng-Ping | Hwang Thong-Shing | Ni Chih-Wen

Journal: IETE Technical Review
ISSN 0256-4602

Volume: 26;
Issue: 4;
Start page: 290;
Date: 2009;
Original page

Keywords: Evolutionary algorithms | Millimeter array | Nutator | Optimization | Voice coil motors.

We present an evolutionary algorithm to optimize controller parameters for a nonlinear nutator system which is implemented in twin voice coil motors (VCMs). In this paper, genetics-based algorithm is applied to tune the proportional-integral-derivative (PID) controller for the multi-input multi-output (MIMO) coupling system. The result has been validated that this algorithm can find out all six PID control parameters in optimal and robust senses. The controller architecture of the nutator system is constructed to meet the specifications of the coupled mirror and rocker parallel loops, both adopting PID control. Two main linear VCMs operating in a push-pull organization drive the nutator subreflector. The mandatory operation mode for the nutator system is two-position switching. The required technical specifications for the nutator control system are extremely precise requirements, system tracking control with a disturbance force more challenging than that in ordinary systems. Simulation results have demonstrated the superiority of the evolutionary algorithm, satisfying the Atacama large -millimeter/submillimeter array (ALMA) severe conditions and requirements.
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