中央空调房间温度智能PID控制的仿真研究  

Emulation of Intelligent PID Controller in Temperature of Central Air-conditioning system

作　　者：唐鑫[1] 左为恒[1] 李昌春[1] 

机构地区：[1]重庆大学电气工程学院,重庆400044

出　　处：《计算机仿真》2010年第5期140-144,共5页Computer Simulation

摘　　要：中央空调房间温度控制系统是一个复杂系统,针对一次性整定得到的PID参数难以保证系统控制始终处于优化状态和良好的品质特性,提出了参数自整定方法,通过实时改变PID参数从而保证控制系统的优良品质。结合粒子群优化算法和模糊控制以及传统PID控制各自的优势,设计了一种新的自适应模糊PID控制器。鉴于PID控制器的性能完全依赖于其参数的整定和优化,采用粒子群算法离线优化PID参数,并利用模糊控制在线调整PID参数,以取得良好的控制效果。利用Matlab软件进行了数字仿真。仿真结果表明,方法调节精度较高,调节迅速,超调小,具有一定的可行性。The room temperature control is a complex system. It is difficult to ensure excellent control effect by once setting parameters of PID. Aimed at the optimizing state problem the paper proposed a parameter auto - tuning technique that can adjust the PID parameters on real time to ensure good quality of the control system. Integrated the advantages of PSO,Fuzzy control and traditional PID control, a self- adaptive fuzzy -PID controller was designed, which used PSO to optimize parameters of PID controller off - line. In view of that the performanceof PID controller completely depends on the parameter tuning and optimization, PSO was used to optimize parameters of PID controller off - line , and fuzzy controller was used to adjust parameters online so as to gain the better control effect. The simulation result was given by using Matlab. The simulation shows that the control system with proposed controller not only has a high controlling accuracy, but also has the characteristic of rapid adjustment with small overshoot.

关 键 词：自适应 模糊控制 比例积分微分 粒子群算法 中央空调 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]