基于交替混沌粒子群算法的恒温箱PID控制  

PID Control for Incubator Based on Alternative Chaos Particle Swarm Optimization

作　　者：吴伟[1] 颜文俊[1] 

机构地区：[1]浙江大学电气工程学院,浙江杭州310027

出　　处：《控制工程》2011年第5期692-696,共5页Control Engineering of China

基　　金：国家863基金资助项目(2007AA05Z232);浙江省科技计划基金资助项目(2007C21180)

摘　　要：为满足目前市场对恒温箱系统越来越高的性能要求,设计了一种高性能的恒温箱控制系统。基于PIC16F877A芯片完成系统硬件设计,并采用PID算法作为控制策略。结合混沌的遍历性和粒子群算法的快速趋同效应,设计了一种新型的交替混沌粒子群(ACPSO)优化算法用以整定PID控制器的参数。通过与收缩因子粒子群算法(CPSO)和变惯性权重粒子群算法(IWPSO)比较,证明交替混沌粒子群算法收敛速度快,并能避免粒子群算法容易陷入局部最优的问题。仿真和实际系统测试表明,所设计的控制器可以有效地提高控制系统的性能,应用前景广阔。To the desire of better performance of the incubators,a new control system with the PIC16F877A designed is and choose PIDas the control strategy. The PID tuning is achieved by a new alternative chaos particle swarm optimization algorithm （ACPSO）, in which the rapid convergence of the particle swarm optimization （PSO） is combined with the ergodicity of Chaos. ACPSO is compared with the constricted PSO （CPSO） and PSO that inertia weight changes （IWPSO）. The ACPSO algorithm can show the rapid convergence and solve the problem in PSO that the search is easily trapped in a local optimum. Simulation and test results show that the pronosed controller can imnrove the performance significantly.

关 键 词：PIC16F877A 恒温箱 交替混沌粒子群(ACPSO) PID 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]