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Covariance Matrix Adapted Evolution Strategy Based Design of Mixed H_2/H_∞ PID Controller

机译:协方差矩阵适应的混合H_2 /H_∞PID控制器的演化策略设计

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This paper discusses the application of the covariance matrix adapted evolution strategy (CMAES) technique to the design of the mixed H_2/H_∞ PID controller. The optimal robust PID controller is designed by minimizing the weighted sum of integral squared error (ISE) and balanced robust performance criterion involving robust stability and disturbance attenuation performance subjected to robust stability and disturbance attenuation constraints. In CMAES algorithm, these constraints are effectively handled by penalty parameter-less scheme. In order to test the performance of CMAES algorithm, MIMO distillation column model is considered. For the purpose of comparison, reported intelligent genetic algorithm (IGA) method is used. The statistical performances of combined ISE and balanced robust performance criterion in ten independent simulation runs show that a performance of CMAES is better than IGA method. Robustness test conducted on the system also shows that the robust performance of CMAES designed controller is better than IGA based controller under model uncertainty and external disturbances.
机译:本文讨论了协方差矩阵适应的演化策略(CMAES)技术在混合H_2 /H_∞PID控制器设计中的应用。通过最小化积分平方误差(ISE)的加权之和和涉及鲁棒稳定性和干扰衰减约束的鲁棒稳定性和干扰衰减性能的平衡稳健性能标准来设计最佳鲁棒PID控制器。在CMAES算法中,这些约束通过惩罚参数的方案有效地处理。为了测试CMAES算法的性能,考虑了MIMO蒸馏柱模型。为了比较目的,使用报告的智能遗传算法(IgA)方法。在十个独立仿真运行中,组合ISE和平衡稳健性能标准的统计表现表明,CMAE的性能优于IGA方法。在系统上进行的鲁棒性测试还表明,CMAES设计控制器的稳健性能优于模型不确定性和外部干扰的基于IGA的控制器。

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