压缩机吸气压力的模糊神经网络控制方法

Control of induction pressure of compressor with fuzzy neural network

针对压缩机吸气压力耦合强、变化快且控制精度要求高的特点 ,在难以获得精确数学模型以及模糊控制还存在一些困难的情况下 ,采用模糊神经网络控制技术进行压缩机吸气压力的控制 ,从而保证了系统可以较快地进入工况并使吸气压力稳定在工况规定的精度范围内 .经实际控制证明 ,模糊神经网络控制可以得到良好的控制效果 .

Aimed at the particularity of the compressors such as strong coupling of pressure with other parameters, fast pressure change, and higher requirement of control accuracy and, in addition, due to the difficulty in developing a precise mathematical model or a fuzzy control algorithm, the fuzzy neural network technique is adopted to implement the control of induction pressure of compressors so that the compressor system can be guaranteed to enter quickly into normal operation condition and make intake pressure stabilized within a accuracy range specified by the operation condition. It is verified by a real controlling that a fair control result can be achieved with fuzzy neural network control.