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针对控制器参数在线优化难题,提出了一种基于免疫原理的控制器参数优化整定方法。该方法借助生物免疫原理,将控制器参数整定的最优解和可行解各自抽象为抗原与抗体,采用免疫遗传算法,在满足约束条件下求解出使目标函数J(x)为极值时所对应的控制器参数。论述了设计步骤,描述了参数优化过程,对算法作了仿真比较研究,给出了仿真实验结果,分析了系统性能指标。仿真实验结果显示出了该方法的优势,验证了该方法的合理性与有效性。仿真研究结果表明所提出方法可用于解决复杂控制系统的参数整定。
In order to solve the problem of on-line optimization of controller parameters, an optimization method of controller parameters based on immune principle is proposed. The method uses the principle of biological immunity to abstract the optimal solution and feasible solution of the controller parameter into antigen and antibody respectively. The immune genetic algorithm is used to solve the problem that the objective function J (x) is the extreme value under the constraint condition Corresponding controller parameters. The design steps are described, the parameter optimization process is described, the algorithm is simulated and compared, the simulation results are given, and the system performance indexes are analyzed. The simulation results show the advantages of this method and verify the rationality and effectiveness of the method. The simulation results show that the proposed method can be used to solve the parameter setting of complex control system.