摘要
对于典型的非线性、时变、滞后的空调系统,基于精确模型的经典控制和现代控制方法难以取得良好的控制品质。而模糊控制则因其具有无需建立被控对象数学模型,鲁棒性与抗干扰性强等特点,能很好地适应空调系统的控制要求而得到广泛的应用。在分析了基本的PID参数整定对系统性能影响的基础上,将模糊控制技术与经典PID控制相结合,建立参数自调整模糊控制器.并用MATLAB软件对该控制器进行仿真。结果表明,参数自调整模糊控制器具有较快的响应速度和较小的稳态误差,同时对被控对象的参数变化有一定的自适应能力。
To typical non-linear time-varying and time-delayed air-condition system, the method of classical control and modem control based on the accurate model does not get good performances. Having some fine characters such as not establishing the mathematic model, the good quality of Robot and anti-jamming, fuzzy control can adapt the need of control of air-condition system, so it has been used widely. By analyzing the effects that foundational PID parameters setting influence the performance of air-condition system, the parameter self-tuning fuzzy controller was created by combining the fuzzy control with classical PID control, and simulated by Matlab. The simulation results show that the controller has shorter response time and less stable uncertainty. At the same time, it has the quality of self-adaptation for the changed parameter of controlled objects.
出处
《仪器仪表用户》
2009年第1期79-80,共2页
Instrumentation
关键词
空调系统
模糊控制
参数自调整
air-conditioning system
fuzzy control
parameter serf-tuning
