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介绍了一种基于神经网络自学习PID控制器。该控制器不仅具有自学习自适应能力,而且具有自调整比例因子功能。实验表明,该控制器能够提高温度控制系统的动态特性和对环境的鲁棒性。
A self-learning PID controller based on neural network is introduced. The controller not only has self-learning adaptive ability, but also has the function of self-adjusting scale factor. Experiments show that the controller can improve the dynamic characteristics of the temperature control system and its environmental robustness.