摘要
在建立柴油机转速控制系统数学模型基础上,将常规PID调节与神经网络相融合,设计了柴油机转速控制系统PID神经元网络控制器及其算法。在Simulink环境下对柴油机转速控制系统进行了仿真研究。仿真结果表明,PIDNN控制器具有良好的动态性能和较强的鲁棒性,与单一PID控制相比,大大改善了柴油机转速控制系统的性能,具有良好的推广应用价值。
Based on the mathematical model of speed control for diesel engine, the PID neural network control unit as well as its arithmetic was studied by combined PID with neural network. The numeric simulation of speed control of diesel engine was carried out based on Simulink. The results show that the PIDNN has very good dynamic performance and strong robust. Compared with traditional PID, the performance of speed control of diesel engine was greatly improved. It has good value in practical applications.
出处
《煤矿机械》
北大核心
2010年第1期201-204,共4页
Coal Mine Machinery
基金
人事部资助项目(07202081)
国家自然科学基金(50844033)
