基于改进布谷鸟算法的PID控制器整定新方法

Novel Modified CS Algorithm-based PID-controller Tuning Method

当前,针对多约束情况下不稳定时滞对象的PID(比例—积分—微分)控制器参数整定方法还没有被深入研究.在这种情况下,本文首先提出了一种改进的布谷鸟优化算法(CS)来解决多约束不稳定时滞对象的PID控制器整定问题.一方面,所提出的改进算法基于布谷鸟优化算法和非线性随机直接搜索算法(NLJ)的联合.另一方面,所提出的改进算法运用一种基于t分布的随机序列来初始化种群.通过使用这两个改进,可以实现全局搜索性能.通过对一阶加时滞不稳定对象(UFOPTD),二阶加时滞不稳定对象(USOPTD)和高阶加时滞不稳定的对象(UHOPTD)的仿真研究,验证该算法的有效性.

To date,the proportional-integral-derivative（ PID） controller tuning method for unstable time delay processes with multiple constraints have yet to be studied in detail. To address the above situations,we propose a novel modified cuckoo search（ CS） algorithm for unstable time delay processes with multiple constraints. The proposed algorithm combines the basic cuckoo search（ CS） algorithm and the nonlinear stochastic direct-search（ NLJ） algorithm. Also,it first applies a general t-distribution sequence to initialize the population. Based on these two improvements,global search performances can be achieved. To verify the effectiveness of the proposed algorithm,we conducted simulation studies on the unstable first-order plus time delay（ UFOPTD） process,the unstable second-order plus time delay（ USOPTD） process,and the unstable highorder plus time delay（ UHOPTD） process.