发动机磁流变半主动悬置变论域模糊控制的研究
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摘要
利用遗传算法(GA)-BP神经网络的模型辨识方法建立了磁流变悬置的正、逆模型;并设计了变论域模糊控制器,对发动机磁流变悬置系统进行半主动控制的仿真。结果表明:变论域模糊控制比传统模糊控制具有更好的宽频隔振效果,发动机转速对应的二阶主频位移和加速度振动峰值明显减小,验证了GA-BP网络逆模型及其变论域模糊控制算法的正确性和有效性。
The direct and inverse models for magneto-rheological(MR) mount are created by using model identification technique with genetic algorithm(GA) BP neural network,a variable universe fuzzy controller is designed,and a simulation on the semi-active control of engine MR mount system is conducted. The results show that the variable universe fuzzy control has better vibration isolation performance in a wide frequency range compared with conventional fuzzy control,and the peak amplitudes of displacement and acceleration reduce significantly at the second dominant frequency corresponding to engine speed,validating the correctness and effectiveness of GA-BP neural network inverse model and its variable universe fuzzy algorithm.
The direct and inverse models for magneto-rheological(MR) mount are created by using model identification technique with genetic algorithm(GA) BP neural network,a variable universe fuzzy controller is designed,and a simulation on the semi-active control of engine MR mount system is conducted. The results show that the variable universe fuzzy control has better vibration isolation performance in a wide frequency range compared with conventional fuzzy control,and the peak amplitudes of displacement and acceleration reduce significantly at the second dominant frequency corresponding to engine speed,validating the correctness and effectiveness of GA-BP neural network inverse model and its variable universe fuzzy algorithm.
引文
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[9]Du H,Lam J,Zhang N.Modeling of a Magneto-rheological Damper by Evolving Radial Basis Function Networks[J].Engineering Applications of Artificial Intelligence,2006,19(8):869-881.
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[11]王修勇,宋璨.磁流变阻尼器的性能试验与神经网络建模[J].振动与冲击,2009,28(4):42-46.
[12]魏付俊.汽车动力总成磁流变悬置的设计和半主动控制研究[D].南京:南京航空航天大学,2007.
[13]李锐.发动机磁流变悬置隔振模糊控制与仿真[J].系统仿真学报,2009,21(4):944-947.
[14]Choi Seung-Bok,Hong Sung-Ryong,Sung Kum-Gil,et al.Optimal Control of Structural Vibrations Using a Mixed-mode Magnetorheological Fluid Mount[J].International Journal of Mechanical Science,2008(50):559-568.
[15]陈国良,王煦法.遗传算法及其应用[M].北京:人民邮电出版社,2001.
[16]王昊,胡海岩.磁流变阻尼器的模糊逼近[J].振动工程学报,2006,19(1):31-36.
[17]李洪兴.变论域自适应模糊控制器[J].中国科学E辑,1999,29(1):32-42.
[18]李良峰.变论域模糊控制算法研究[D].成都:电子科技大学,2008.
[2]Carlson J D.Magnetorheological Fluid Actuators.Adaptronics and Smart Structures[M].Edited by Jendritza DJ and Janocha H,Springer Verlag,1997.
[3]Spencer Jr B F,Dyke S J.Phenomenological Model of a Magnetorheological Dampers[J].ASCE Joumal of Engineering Mechanics,1997,123(3):230-238.
[4]Boada M J L,Calvo J A.Modeling of a Magnetorheological Damper by Recursive Lazy Learning[J].International Journal of NonLinear Mechanics 2011,46:479-485.
[5]Spencer B,Dyke S,Sain M,et al.Phenomenological Model for Magnetorheological Dampers[J].Journal of Engineering Mechanics,1997,123(3):230-238.
[6]Gamato D,Filisko F E.High Frequency Dynamic Mechanical Study of an Aluminosilicate Electrorheological Material[J].Journal of Rheology,1991,35:1411-1425.
[7]周强,瞿伟廉.磁流变阻尼器的两种力学模型和试验[J].地震工程与工程振动,2002,22(4):144-150.
[8]Wereley N,Pang L.Non-dimensional Analysis of Semi-active Electrorheological and Magnetorheological Dampers Using Approximate Parallel Plate Models[J].Smart Materials and Structures,1998,7:732-743.
[9]Du H,Lam J,Zhang N.Modeling of a Magneto-rheological Damper by Evolving Radial Basis Function Networks[J].Engineering Applications of Artificial Intelligence,2006,19(8):869-881.
[10]Schurter K,Roschke P N.Fuzzy Modeling of a Magnetorheological Damper Using Anfis[C].The Ninth IEEE International Conference Fuzzy Systems,2000.
[11]王修勇,宋璨.磁流变阻尼器的性能试验与神经网络建模[J].振动与冲击,2009,28(4):42-46.
[12]魏付俊.汽车动力总成磁流变悬置的设计和半主动控制研究[D].南京:南京航空航天大学,2007.
[13]李锐.发动机磁流变悬置隔振模糊控制与仿真[J].系统仿真学报,2009,21(4):944-947.
[14]Choi Seung-Bok,Hong Sung-Ryong,Sung Kum-Gil,et al.Optimal Control of Structural Vibrations Using a Mixed-mode Magnetorheological Fluid Mount[J].International Journal of Mechanical Science,2008(50):559-568.
[15]陈国良,王煦法.遗传算法及其应用[M].北京:人民邮电出版社,2001.
[16]王昊,胡海岩.磁流变阻尼器的模糊逼近[J].振动工程学报,2006,19(1):31-36.
[17]李洪兴.变论域自适应模糊控制器[J].中国科学E辑,1999,29(1):32-42.
[18]李良峰.变论域模糊控制算法研究[D].成都:电子科技大学,2008.
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