摘要
针对一次性整定得到的PID控制参数难以保证系统控制效果始终处于优化状态的问题,探讨了一种基于参数自整定的模糊PID控制器。该控制器将模糊控制与经典PID控制技术相结合,借助对控制器参数的在线模糊自整定,在系统性能发生改变并超出了一定范围后,自动启动PID控制参数的整定过程,实时地修改PID的控制参数。重新整定的PID控制参数可以使系统始终保持在优化状态,取得良好的控制效果。以烟厂生产工艺对环境温度的中央空调控制为例进行研究。实际系统仿真测试数据说明,基于参数自整定的模糊PID控制器提高了系统的控制精度与稳定性。研究表明该控制器可满足实际系统的强鲁棒性与高精度控制的工况需求。
Aimed at being difficult to make system control effect be in the state of optimizing from beginning to end by means of PID control parameter obtained through disposable tuning, the pa- per explored a sort of fuzzy-PID controller of parameter based auto-tuning. Combined fuzzy logic control with classical PID control technique, by dint of fuzzy auto-tuning of PID control parameter on line, when the system performance produces the change and goes beyond specified range, the system would automatically start the tuning process of PID control parameter, and modified the PID control parameter in real time, made the retuned PID control parameter be able in the state of optimizing all the time, and therefore it could obtain better control effect. In the paper, it took central air-conditioning control of environment temperature in production technology of ciga- rette factory as an example, and the test data of actual system simulation demonstrated that it enhanced the control precision and stability to fuzzy-PID controller of parameter based auto-tun- ing. The research result shows that the explored controller can satisfy the working condition de- mand in strong robustness and high precision of actual system.
出处
《机床与液压》
北大核心
2013年第6期81-86,共6页
Machine Tool & Hydraulics
关键词
参数自整定
模糊控制
自学习
模糊PID控制器
parameter auto-tuning, fuzzy control, self-learning, fuzzy-PID Controller