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基于神经网络的电液转台非线性积分滑模控制

DOI: 10.13700/j.bh.1001-5965.2013.0688, PP. 321-326

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Abstract:

针对高精度电液飞行仿真转台具有高度非线性、参数不确定和不确定非线性等特点,提出了一种基于RBF(RadialBasisFunction)神经网络的非线性积分滑模鲁棒控制方法.采用自适应RBF神经网络对该系统存在的参数不确定性和不确定非线性进行补偿,从而降低滑模控制器对切换项的增益的需求,进而减小系统抖振幅值.积分滑模面的设计能消除外部干扰对系统带来的稳态误差.根据积分滑模变结构控制器的特点,将控制律分为等效控制律和到达控制律.等效控制律使系统运动于滑模面附近,到达控制律可使处于状态空间内任意初始位置的系统趋近于滑模面,并进一步通过Lyapunov方法证明了系统的渐近稳定性.实验结果表明,所提出的非线性控制器不仅能满足电液转台的高精度跟踪性能的要求,且对参数不确定性和不确定非线性具有一定的鲁棒性.

References

[1]  吴云洁,刘金琨,刘强.基于模糊 RBF网络的伺服转台鲁棒控制[J].系统仿真学报,2002,14(9):1232-1234 Wu Yunjie,Liu Jinkun,Liu Qiang.Servo table robust control based on fuzzy RBF neural network[J].Journal of System Simulation,2002,14(9):1232-1234(in Chinese)
[2]  王锴,王占林,付永领,等.电液仿真转台控制系统设计与仿真研究[J].宇航学报,2007,28(1):178-182 Wang Kai,Wang Zhanlin,Fu Yongling,et al. Design and resrarch of electronic-hydraulic rotary-table[J]. Journal of Astronautics,2007,28(1):178-182(in Chinese)
[3]  吴云洁,刘金琨,刘强.基于模糊 RBF网络的伺服转台鲁棒控制[J].系统仿真学报,2002,14(9):1232-1234 Wu Yunjie,Liu Jinkun,Liu Qiang.Servo table robust control based on fuzzy RBF neural network[J].Journal of System Simulation,2002,14(9):1232-1234(in Chinese)
[4]  姚建勇.基于模型的电液伺服系统非线性控制[D].北京:北京航空航天大学,2012 Yao Jianyong.Model-based nonlinear control of electro-hydraulic servo systems[D].Beijing:Beijing University of Aeronautics and Astronautics,2012(in Chinese)
[5]  姚建勇.基于模型的电液伺服系统非线性控制[D].北京:北京航空航天大学,2012 Yao Jianyong.Model-based nonlinear control of electro-hydraulic servo systems[D].Beijing:Beijing University of Aeronautics and Astronautics,2012(in Chinese)
[6]  刘金琨.滑模变结构控制MATLAB仿真[M].2版.北京:清华大学出版社,2012:1-3 Liu Jinkun.Matlab simulation for sliding mode control[M].2 nd ed.Beijing:Tsinghua University Press,2012:1-3(in Chinese)
[7]  刘金琨.滑模变结构控制MATLAB仿真[M].2版.北京:清华大学出版社,2012:1-3 Liu Jinkun.Matlab simulation for sliding mode control[M].2 nd ed.Beijing:Tsinghua University Press,2012:1-3(in Chinese)
[8]  Liu Y,Handroos H.Technical note sliding mode control for a class of hydraulic position servo[J].Mechatronics,1999,9(1):111-123
[9]  Liu Y,Handroos H.Technical note sliding mode control for a class of hydraulic position servo[J].Mechatronics,1999,9(1):111-123
[10]  Bonchis A,Corke P I,Rye D C,et al.Variable structure methods in hydraulic servo systems control[J].Automatica,2001, 37(4):589-595
[11]  Bonchis A,Corke P I,Rye D C,et al.Variable structure methods in hydraulic servo systems control[J].Automatica,2001, 37(4):589-595
[12]  Utkin V I,Chang H C.Sliding mode control on electromechanical systems[J].Mathematical Problems in Engineering,2003, 8(4/5):451-473
[13]  裴忠才,尹丽,王占林.基于神经网络的仿真转台控制系统[J].北京航空航天大学学报,2005,31(9):1045-1048 Pei Zhongcai,Yin Li,Wang Zhanlin.Simulating turntable control system with neural network [J].Journal of Beijing University of Aeronautics and Astronautics,2005,31(9):1045-1048(in Chinese)
[14]  Bianchini M,Frasconi P,Gori M.Learning without local minima in radial basis function networks[J].IEEE Transactions on Neural Networks,1995,6(3):749-756
[15]  罗婷婷,刘金琨.一种使用RBF 网络的自适应滑模控制器[J].北京航空航天大学学报,2005,31(10):1106-1109 Luo Tingting,Liu Jinkun.Adaptive sliding mode control using RBF network[J].Journal of Beijing University of Aeronautics and Astronautics,2005,31(10):1106-1109(in Chinese)
[16]  Utkin V I,Chang H C.Sliding mode control on electromechanical systems[J].Mathematical Problems in Engineering,2003, 8(4/5):451-473
[17]  裴忠才,尹丽,王占林.基于神经网络的仿真转台控制系统[J].北京航空航天大学学报,2005,31(9):1045-1048 Pei Zhongcai,Yin Li,Wang Zhanlin.Simulating turntable control system with neural network [J].Journal of Beijing University of Aeronautics and Astronautics,2005,31(9):1045-1048(in Chinese)
[18]  Bianchini M,Frasconi P,Gori M.Learning without local minima in radial basis function networks[J].IEEE Transactions on Neural Networks,1995,6(3):749-756
[19]  罗婷婷,刘金琨.一种使用RBF 网络的自适应滑模控制器[J].北京航空航天大学学报,2005,31(10):1106-1109 Luo Tingting,Liu Jinkun.Adaptive sliding mode control using RBF network[J].Journal of Beijing University of Aeronautics and Astronautics,2005,31(10):1106-1109(in Chinese)
[20]  Park J,Sandberg I W.Universal approximation using radial basis function networks[J].Neural Computation,1991,3(2):246-257
[21]  Park J,Sandberg I W.Universal approximation using radial basis function networks[J].Neural Computation,1991,3(2):246-257
[22]  Merritt H E.Hydraulic control system [M].New York:Wiley,1967:160-180
[23]  Merritt H E.Hydraulic control system [M].New York:Wiley,1967:160-180

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