摘要
飞机地面空调车温度控制系统是一个非线性、时变、模型不精确、工作环境不确定的复杂系统,传统的PID控制方法难以满足该系统的控制要求。因此,设计了一种多模型模糊PID控制器。该控制器考虑空调输入电压对温度控制的影响,将输入电压分为2个区间分别建模,每个区间设计不同的模糊PID控制器,多个模糊PID控制器构成多模型模糊PID控制器。当输入电压发生变化时,选择相应区间的控制器进行调温。仿真结果表明,多模型模糊PID控制器优于单模型模糊PID控制器,有效地改善系统的瞬时响应、稳态精度和鲁棒性,具有良好的工业利用前景。
The temperature control system for aircraft ground air conditioning carts is a complex system with time varying, nonlinear, imprecise model and uncertain work environment. The traditional PID control method is difficult to meet the control requirements of the system. In this paper, a multiple models fuzzy PID controller is designed. The controller considers the effects of air conditioning input voltage, and divides the input voltage into two intervals. Different fuzzy PID controller is designed for each interval and these controllers constitute a multiple models fuzzy PID controller. When the input voltage changes, controller of the corresponding interval is chosen to adjust the temperature. Simulation results show that multiple model fuzzy PID control is superior to the single fuzzy PID control, and can effectively improve the transient response, the steady state accuracy and robustness of the system, having good prospects for engineering applications.
出处
《控制工程》
CSCD
北大核心
2016年第4期453-457,共5页
Control Engineering of China
基金
国家自然科学基金(60504010)
国家高新技术863发展计划(2008AA04Z129)
上海市自然科学基金(14ZR1421800)
流程工业综合自动化国家重点实验室开放课题基金资助
关键词
空调车温度
多模型
模糊PID控制
瞬态响应
Air-condition temperature
multiple models
fuzzy PID control
transient response