发动机振动主动控制联合仿真及神经网络自适应控制技术的研究  

Study on United Simulation and Self Adaptive Neural Network Technique for Active Engine Vibration Control

作　　者：蔺玉辉[1] 靳晓雄[1] 肖勇[1] 

机构地区：[1]同济大学

出　　处：《汽车技术》2007年第8期15-18,共4页Automobile Technology

摘　　要：应用AMESim软件建立了发动机-车身振动模型。依据神经网络控制器、辨识器的设计,建立了神经网络自适应控制系统。通过联合仿真试验,验证了所建立的神经网络自适应控制系统的振动控制效果优于LQR及模糊控制。通过计算可控可观矩阵,验证了该控制系统既可控又可观。An engine-body vibration model is established with the help of AMESim software.Based on the designs of neural network controller and identifier,the self adaptive neural network control system is established.It＇s verified by simulating that the vibration control effect of the designed control system is more superior to that of both LQR and fuzzy control.It＇s also verified by calculating the controllable and visual matrix that the control system is controllable and visual.

关 键 词：发动机 振动 神经网络 自适应控制技术 

分 类 号：U467.2[机械工程—车辆工程]