Robust RST control design based on Multi-Objective Particle Swarm Optimization approach

详细信息    查看全文

• 作者：Riadh Madiouni ; Soufiene Bouallègue…
• 关键词：DC drive ; digital RST controller ; external archive ; multi ; objective design ; NSGA ; II ; particle swarm optimization ; Pareto front ; robustness constraints
• 刊名：International Journal of Control, Automation and Systems
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：14
• 期：6
• 页码：1607-1617
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Control, Robotics, Mechatronics;
• 出版者：Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers
• ISSN：2005-4092
• 卷排序：14

文摘

In this paper, a novel method for the digital two-Degrees-Of-Freedom (2DOF) controller design, called canonical RST structure, is proposed and successfully implemented based on a Multi-Objective Particle Swarm Optimization (MOPSO) approach. This is a polynomial control structure allowing independently the regulation and the tracking of discrete-time systems. An application to the variable speed control of an electrical DC Drive is investigated. The RST design and tuning problem is formulated as a multi-objective optimization problem. The proposed MOPSO algorithm which is based on the Pareto dominance is used to identify the non-dominated solutions. This approach used the leader selection strategy that is called a geographically-based system. In addition, the adaptive grid method is used to produce well-distributed Pareto fronts in the multi-objective formalism. The well known NSGA-II and the proposed MOPSO algorithms are evaluated and compared with each other in terms of several performance metrics in order to show the superiority and the effectiveness of the proposed method. Simulation results demonstrate the advantages of the MOPSO-tuned RST control structure in terms of performance and robustness.