基于ISE⁃ITAE指标与遗传算法的解耦控制方法  

A decoupling control method with ISE⁃ITAE index and genetic algorithm

作　　者：周永华[1] 严梓硕 ZHOU Yonghua;YAN Zishuo(College of Electrical Engineering,Guangxi University,Nanning 530004,China)

机构地区：[1]广西大学电气工程学院,广西南宁530004

出　　处：《现代电子技术》2021年第10期130-134,共5页Modern Electronics Technique

基　　金：广西自然科学基金资助项目(0991060)。

摘　　要：针对多输入多输出系统的耦合问题,该文提出一种基于遗传算法的状态反馈静态解耦控制方法。首先建立一个多输入多输出系统的模型,分析其耦合状态和解耦条件。为了避免遗传算法陷入局部最优解并提高其迭代效率,采用改进的自适应遗传算法对系统进行状态反馈解耦配置。在遗传算法设计中,提出一种分段的绝对误差平方积分⁃绝对误差乘以时间积分的指标来构造遗传算法的适应度函数,以提高系统的解耦速度与响应速度,通过遗传算法优化使被控系统不断趋近期望的解耦状态,最后实现系统的静态解耦控制。经过仿真实验,结果表明与经典的解耦控制算法相比,该方法不仅能有效实现系统的解耦控制,同时具有解耦速度更快、响应时间更短的优点。A novel static decoupling control method based on genetic algorithm is proposed to solve the coupling difficulty of multiple⁃input multiple⁃output(MIMO)system.Firstly,a model of the MIMO system is established,and the coupling state and decoupling conditions are analyzed.The modified adaptive genetic algorithm is adopted to carry out state feedback and decoupling configuration to avoided the problem that the algorithm falling into local optimal solution and improve its iterative efficiency.In the design of genetic algorithm,a criterion of absolute integrated square error and time integral multiplied by absolute error is proposed to construct the fitness function of genetic algorithm to make the system continuously trended to the expected decoupling state,which can also increase the decoupling speed and faster response speed of the system.The static decoupling control of the system is realized.The simulation experimental results show that,in comparison with the classical decoupling algorithm,the proposed method can realize system decoupling control effectively,and get faster decoupling speed and shorter response time.

关 键 词：解耦控制方法 MIMO系统 状态反馈 解耦配置 遗传算法设计 仿真实验 

分 类 号：TN911-34[电子电信—通信与信息系统] TP273[电子电信—信息与通信工程]