摘要
基于神经网络辨识及滑模变结构理论,对柴油机非线性模型设计了神经滑模控制器。通过编写S函数实现了神经网络在线更新权值,并在Matlab/Simulink环境中对控制系统进行仿真,证明该控制器可以在保证控制精度的前提下削弱了系统抖振,对柴油机转速取得了较好的控制效果。
A neural adaptive controller based on neural network recognition and sliding mode control theory was designed in regard to diesel engine＇s non-linear model. An S-function was designed to realize online updating of neural network weights, and also simulated in Matlab/Simulink environment, simulation results expatiate that this controller can both ensure accuracy and weaken system chattering, also has a good performance in the speed control of diesel engine.
出处
《辽宁工业大学学报（自然科学版）》
2011年第2期99-102,共4页
Journal of Liaoning University of Technology(Natural Science Edition)
