Abstract: This paper studies the self-tuning problem of proportional-integral-derivative(PID) controller. A novel approach based on improved particle swarm optimization(PSO) algorithm is proposed to design the PID parameters. A real coding method and an exponential curve idea of decreasing inertia weight are used. This approach is easy to realize, and it increases optimal speed and precision. Simulations show the effectiveness of the new method.

Key words: proportional-integral-derivative(PID), particle swarm optimization algorithm(PSO), self-tuning

摘要： 研究了比例-微分-积分(PID)控制器参数自整定问题，提出一种基于改进粒子群优化算法的PID控制器参数自整定方法。采用实编码方法和基于指数曲线的非线性惯性因子取值策略，该途径易于实现，并且提高了寻优的速度和精度。仿真实例表明了该方法的有效性。

关键词: 比例-微分-积分, 粒子群优化算法, 自整定

CLC Number: 

• TP18