pso增益选择改进离散二阶滑模控制器

A. Alanis, N. Arana-Daniel, C. López-Franco, E. Sánchez
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引用次数: 4

摘要

研究了存在干扰的离散多输入多输出非线性系统的自适应跟踪问题。采用粒子群优化(PSO)-增益选择方法改进了离散时间高阶滑模控制律。论文还包括了各自的稳定性分析,为整个系统制定了策略。为了证明该方法的适用性,文中给出了一个范德波尔振荡器的仿真结果。
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PSO-gain selection to improve a discrete-time second order sliding mode controller
This paper deals with adaptive tracking for discrete-time MIMO nonlinear systems in presence of disturbances. A Particle Swarm Optimization (PSO)-Gain selection is used to improve a discrete-time high order sliding mode control law. The paper also includes the respective stability analysis, for the whole system with a strategy. In order to show the applicability of the proposed scheme, simulation results are included for a Van der Pol oscillator.
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A study on two-step search based on PSO to improve convergence and diversity for Many-Objective Optimization Problems An evolutionary approach to the multi-objective pickup and delivery problem with time windows A new performance metric for user-preference based multi-objective evolutionary algorithms A new algorithm for reducing metaheuristic design effort Evaluation of gossip Vs. broadcast as communication strategies for multiple swarms solving MaOPs
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