模糊神经网络PID控制在振动打桩机中的应用

针对双马达电液伺服系统难以进行同步控制,实现无级调频调矩的问题,提出了基于Mamdani型的模糊神经网络PID控制方法。该方法的主要思想是结合模糊推理和神经网络控制技术,构成模糊神经网络,实时调整PID参数。实验结果表明：与传统PID控制方法相比,该方法改善了系统的动态特性,提高了控制精度。

Application of Fuzzy Neural Network PID Control in Vibration Pile Driver

The electro-hydraulic servo system with double motors is hard to be controlled synchronously and to be used to regulate the frequency and moment. this paper puts for ward a fuzzy neural network PID method based on Mamdani The main idea of the new approach is to constitute the fuzzy neural network with the real-time adjustment of PID control parameters through combining fuzzy reasoning with neural network control technology. Experimental results show that compared with the traditional PID control method, the proposed control method greatly improves the dynamic performance of the system and the control precision。