关键词：
燃气发动机;神经网络;非线性PID;非线性控制;调速;试验
摘 要：
将神经网络与PID控制器相结合,构成了神经网络非线性PID(NNXPID)控制器。将该方法应用到发动机转速控制中,测试了发动机的转速阶跃变化工况、热机启动工况以及负荷突加工况,结果显示NNXPID既具有PID拉制器结构简单、参数物理意义明确、稳态性能良好的优点,又具有神经网络自学习、自适应的能力,还具有模糊控制的快速响应、智能调节的功能。NNXPID控制下的燃气发动机的稳定调速率小于5%,转速波动率小于0.5%,突加负荷瞬时调速率小于10%,稳定时间小于5 s,具有很好的动态和静态性能。
译 名：
Experiment on Neural Network Nonlinear PID Controller for the Natural Gas Engine
作 者：
Xu Zhenjun Yang Zhao Fang Zheng(Tianjin University,Tianjin 300072,China)
关键词：
Natural gas engine,Neural network,Nonlinear PID,Nonlinear controller,Engine speed controller,Experiment
摘 要：
A new neural network nonlinear PID controller(NNXPID) to enhance the performance of the system was proposed.It is easily accomplished by transmitting the proportion,integral,differential coefficient of PID to the neural network to train.The NNXPID was applied in the engine speed controller.The results from the experiment showed that the NNXPID controller has very good dynamic and static properties.Under the control of NNXPID,the steady speed regulation is lower than 5%,the fluctation rate of speed is lower than 0.5%,the instantaneous speed regulation is lower than 10%,and the time required to steady speed is lower than 5 s.
