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Autonomous Pole Placement Controller Design of Two-Inertia Motor System Based on Genetic Algorithms  

Gloria Suh (YoungYang Girls' High School)
Park, Jung-Il (School of Electrical Engineering and Computer Science, Yeungnam University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.40, no.5, 2003 , pp. 317-325 More about this Journal
Abstract
The vibration, which often occurred in a two inertia motor system, makes it difficult to achieve a quick response of speed and disturbance rejection. This paper provides an autonomous pole assignment technique for three kinds of speed controllers (I-P, I-PD, and State feedback) using GAs(Genetic Algorithms) for a two-inertia motor system. Firstly, the optimal parameters are chosen using GAs in view of reducing overshoot and settling time, then those are used in computing the gains of each controller. Some simulation results verify the effectiveness of the proposed design. The proposed controller is expected to be the autonomous design way for controlling a two-inertia motor system with flexible shaft.
Keywords
Two-inertia system; Pole placement controller; Autonomous controller design; Genetic algorithms;
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