Optimization design of controller periods using evolution strategy

Authors:
Hong Jin;Hui Wang;Hongan Wang;Guozhong Dai
Affiliations:
Institute of Software, Chinese Academy of Sciences, Beijing, China;Institute of Software, Chinese Academy of Sciences, Beijing, China;Institute of Software, Chinese Academy of Sciences, Beijing, China;Institute of Software, Chinese Academy of Sciences, Beijing, China
Venue:
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Year:
2005

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Abstract

For real-time computer-controlled systems, a control task does not have a fixed period but a range of periods in which control performance varies. Hence for multiple tasks scheduled on a single processor, to consider the optimization design of sampling periods in the co-design of control and scheduling is necessary to improve the control performance and use limited computing resource efficiently. In this paper, the mathematic description of the optimization problem of designing periods is presented, and the optimization solution using evolution strategy is proposed. The performances of proposed solution are revealed via simulation studies. Simulation shows that the optimization design of sampling periods can be implemented by using the evolution strategy method.