摘要
常规PID算法,在被控对象具有不确定、非线性、变参数等因素的复杂温度控制中,难以满足控制要求。该文采用改进的粒子群优化算法PSO(particle swarm optimization),对PID算法的Kp,Ki,Kd三个参数进行在线整定,对改进PSO-PID算法在温度控制中的快速性作为研究的重点。仿真结果显示,这种改进的PSO-PID控制算法比标准的PSO-PID控制算法有更好的快速性和稳定性。
It is difficult for conventional PID to meet the complex control requirements while the con- trolled object is uncertain, nonlinear, variable-parameters in the complex temperature control. This paper adopted the improved PSO （ particle swarm optimization） algorithm to tune the Kp, Ki, Kd parameters on-line, and primarily focus on the rapidity of the improved PSO-PID algorithm in temperature control. Simulation results show that this PSO-PID control algorithm owns better speed and stability comparing to original PID control.
出处
《工业仪表与自动化装置》
2013年第1期9-11,共3页
Industrial Instrumentation & Automation
关键词
PSO—PID算法
温度控制
粒子群算法
PSO-PID algorithm
temperature control
particle swarm optimization
