Speed control of switched reluctance motor by genetic algorithm-based optimal H-infinity control approach Online publication date: Mon, 21-Mar-2022
by A. Rajendran; S. Padma
International Journal of Manufacturing Technology and Management (IJMTM), Vol. 35, No. 5, 2021
Abstract: In classical H-infinity control technique, the uncertainties have parameters namely model error and variation outer disorder. But, the H-infinity control technique is an external control technique. The weight of the transfer function matrix is changed at different system state. Therefore, an optimal control weight is needed to make the system robust. The process of finding optimal control weight is complex because the H-infinity control process is a closed loop controller. To overcome these difficulties, in this paper, an optimal H-infinity control concept is proposed. In the proposed control procedure, the optimal transfer function matrix weight is obtained by genetic algorithm (GA) which is an efficient optimisation algorithm. The proposed method is implemented in MATLAB and the speed of the SRM is controlled. Then the weight noise setting is obtained for every time instant. The optimal weight noise setting can be attained by H-infinity optimal control using GA approach.
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