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Covariance Matrix Adapted Evolution Strategy Based Design of Mixed H_2H_∞ PID Controller

机译:基于协方差矩阵自适应进化策略的混合H_2H_∞PID控制器设计

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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自适应进化策略(CMAES)技术在混合H_2 /H∞PID控制器设计中的应用。最优鲁棒PID控制器是通过最小化积分平方误差(ISE)和平衡鲁棒性能标准(包括鲁棒稳定性和干扰衰减性能,受鲁棒稳定性和干扰衰减约束)的加权和而设计的。在CMAES算法中,这些约束可以通过无罚参数方案有效地处理。为了测试CMAES算法的性能,考虑了MIMO精馏塔模型。为了进行比较,使用了报告的智能遗传算法(IGA)方法。结合ISE和平衡鲁棒性能准则进行的十次独立模拟运行的统计性能表明,CMAES的性能优于IGA方法。在系统上进行的鲁棒性测试还表明,在模型不确定性和外部干扰下,CMAES设计的控制器的鲁棒性优于基于IGA的控制器。

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