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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。
It is difficult to ensure that the control performance of the system is always in the optimized state for the one-time tuning PID control parameters, and a fuzzy PID controller based on parameter self-tuning is discussed. The controller combines fuzzy control and classical PID control technology. With the online fuzzy self-tuning of the controller parameters, after the system performance changes and exceeds a certain range, the tuning process of PID control parameters is automatically started and the PID is modified in real time Control parameters. Re-set the PID control parameters can make the system always remain in the optimized state, achieved good control effect. Taking the production process of tobacco factory as example, the control of the central air-conditioning system with ambient temperature is taken as an example. The actual system simulation test data shows that the fuzzy PID controller based on parameter self-tuning improves the control accuracy and stability of the system. The research shows that the controller can meet the strong robustness of the actual system and the working conditions of high-precision control.