基于改进粒子群算法优化的自抗扰控制器（ADRC）及其应用

针对自抗扰控制器参数多,不利于整定的问题,提出了一种基于改进的粒子群算法（PSO）的自抗扰控制器参数整定方法。该方法引入了PSO中各个粒子的惯性权值的自适应调整机制,以此来维持粒子的多样性和加速粒子群算法的收敛性。利用改进粒子群算法优化的二阶自抗扰控制器控制主气温控制系统,仿真结果验证了算法的可行性和有效性。

Optimization of ADRC and its Application Based on Improved Particle Swarm Algorithms

In light of the more parameters and its difficulties to set the value of ADRC,a kind of new method based on improved PSO which can be used to set ADRC parameters value has been offered. In this method particle with dynamically changing its inertia weight,therewith it can keep diversity and accelerating convergence of particles. ADRC being optimized by improved PSO is used to the main steam temperature control system,The simulation results show that the possibilities and availability of the improved PSO.