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Parameter Auto-tuning Method Based on Selflearning Algorithm

机译:基于自画面算法的参数自学方法

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—The central air condition system is a complex system. Aimed at the puzzle of optimal status adjusting by once setting parameter of fuzzy PID, the paper proposed a sort of parameter auto-tuning method of fuzzy-PID based on self-learning algorithm. It adopted parameter autotuning technique to adjust the PID parameters in real time so as to ensure good quality of control system. It combined fuzzy logic control with classical PID control, and then made the fuzzy auto-tuning of PID parameter on line, after that, the parameters of adjusted system were switched to the natural work status. Once the change of system performance occurred, and it went beyond the specified range, then the system would automatically start the parameter tuning process of PID. The engineering practice shows that the retuned parameters could obtain better control effect than before, therefore the system performance is greatly enhanced, and it is higher in control accuracy, better in stability, stronger in robustness.
机译:- 中央空调系统是复杂的系统。旨在通过一旦设定模糊PID的参数来调整最佳状态调整的谜题,提出了一种基于自学习算法的模糊PID参数自学方法。它采用参数自动调节技术实时调整PID参数,以确保控制系统的良好质量。它将模糊逻辑控制与经典PID控制组合,然后在线进行了模糊自动调整PID参数,之后,调整系统的参数切换到自然工作状态。一旦发生了系统性能的变化,它超出了指定范围,那么系统将自动启动PID的参数调整过程。工程实践表明,重新调整的参数可以获得比以前更好的控制效果,因此系统性能大大增强,并且控制精度更高,稳定性更好,鲁棒性更强。

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