微粒群算法在自动控制系统设计中的应用

提出了将微粒群优化(Particle Swarm Optimization，PSO)算法与控制系统设计相结合的系统设计思路和方法。系统设计过程包括两个部分：首先基于历史输入输出数据，用微粒群算法建立系统的模型，然后基于得到的模型进行控制器的设计，并用微粒群算法进行控制器的参数优化整定。仿真试验结果表明，微粒群算法在控制系统设计的模型建立、控制器参数优化等方面发挥了重要的作用，简化了控制系统设计任务，提高了设计效率。

Application of PSO algorithm in design of automated control system

In this paper, the systemic method for the design of automatic system integrated with the Particle Swarm Optimization (PSO) algorithm was proposed. The total design procedure includes two parts. First, the model of the controlled object was estimated using PSO algorithm based on the experiment data, and then the PSO algorithm was proposed to design the parameter optimization of controller. The simulation results show that the Particle Swarm Optimization algorithm plays an important role in the modeling of object and parameter optimization of controller and simplifies the system design task. The design effective is also improved apparently.