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神经网络控制汽油机空燃比的研究
Study on Control Air Fuel Ratio of Gasoline Engines with Neural Network
【摘要】 结合发动机空燃比的控制特征,研究了一种能自适应补偿喷油量的CMAC控制器。介绍了其自适应补偿算法———学习—补偿法。通过采用台架试验数据加随机扰动数据并用MATLAB对CMAC进行训练和仿真,获取了控制器参数,验证了控制器的学习能力、鲁棒性和控制精度。
【Abstract】 Combined with control characteristics of engine air fuel ratio,the CMAC controller which is self adaptive to compensate fuel injection volume is studied.The self adaptive compensation algorithm,the learning—— — compensating method,is in tro duced.The CMAC is trained and simulated with data from rig tests along with random disturbance data to obtain the param eters of the con troller.The learning ability,robustness and control accuracy are validated.
【基金】 四川省重点学科资助项目;项目号200221。
- 【文献出处】 汽车技术 ,Automobile Technology , 编辑部邮箱 ,2003年12期
- 【分类号】U467.4
- 【被引频次】6
- 【下载频次】160