基于改进遗传算法的多变量DMC参数优化

Parameter Optimization of Multivariable DMC Based on Improved Genetic Algorithm

针对常规PID控制策略对多变量控制系统控制不理想的问题,提出了一种基于改进遗传算法的多变量动态矩阵控制。该方法将控制方法和参数优化算法相结合,对多变量动态矩阵控制参数进行寻优。在此基础上,对遗传算法进行改进,提高了其寻优能力。仿真结果表明,改进后的遗传算法能快速准确地跟踪设定值,减小调节时间。

Aiming at the problem that the conventional PID control strategy is not ideal for the control of multivariable control system,a multivariable dynamic matrix control based on the improved genetic algorithm is proposed.This method combines the control method with the parameter optimization algorithm to search for the control parameters of the multivariable dynamic matrix,and on this basis,the genetic algorithm is improved to improve its optimization ability.The simulation results show that the improved genetic algorithm can track the set value quickly and accurately,and reduce the adjustment time.