基于粒子群算法的PID控制器参数自整定

Self-tuning of PID parameters based on particle swarm optimization

根据粒子群算法具有对整个参数空间进行高效并行搜索的特点,提出一种对PID控制器参数和非最小相位系统的两阶段PI/PD控制器参数进行自整定的计算框架.仿真结果表明了所提出算法的有效性和所设计控制器的优越性.

Based on the characteristic of particle swarm optimization (PSO) algorithm searching the parameter space concurrently and efficiently, a calculative framework is presented to tune PID controller parameters and two-stage PI/PD controller parameters for non-minimum phase system. Numerical simulations show that the algorithms are effective and the designed controller has excellent performance.