Deadzone and Uncertainties Dynamic Compensation for Missile Servo Control Systems
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- 英文论文题名：Deadzone and Uncertainties Dynamic Compensation for Missile Servo Control Systems
- 论文作者：Kunfeng Zhang ; Donghui Yu ; Fei Wu ; Dawei Rao
- 英文论文作者：Kunfeng Zhang ; Donghui Yu ; Fei Wu ; Dawei Rao ; Luoyang Optoelectronic Technology Development Center
- 年：2017
- 作者机构：Luoyang Optoelectronic Technology Development Center;
- 英文论文关键词：deadzone ; variations of hinge moment ; adaptive fuzzy fast terminal sliding mode control
- 会议召开时间：2017-07-26
- 会议录名称：第36届中国控制会议论文集（A）
- 英文会议录名称：Proceedings of the 36th Chinese Control Conference（A）
- 语种：英文
- 分类号：TJ765.2
- 学会代码：KZLL
- 会议名称：第36届中国控制会议
- 会议地点：中国辽宁大连
- 主办单位：中国自动化学会控制理论专业委员会
- 学会名称：中国自动化学会控制理论专业委员会
- 页数：6
- 文件大小：170k
- 原文格式：D
- 会议级别：全国
摘要
For deadzone, parameters variations and disturbances in missile servo control system, a robust adaptive fuzzy fast terminal sliding mode controller was proposed to compensate deadzone, uncertainties and other disturbances. An adaptive fuzzy logic controller for the deadzone dynamic compensation was adopted in feedforward loop. The variations of hinge moment were identified online requiring no prior knowledge. The controller also had good regulations to other uncertainties and external disturbances. The closed loop control system was proved to be globally uniform asymptotically stable. The simulation results showed that the designed algorithm was effective in compensating the deadzone, improved tracking performance, shortened settling time, and had good robustness and stability to disturbances and parameters variations.
For deadzone, parameters variations and disturbances in missile servo control system, a robust adaptive fuzzy fast terminal sliding mode controller was proposed to compensate deadzone, uncertainties and other disturbances. An adaptive fuzzy logic controller for the deadzone dynamic compensation was adopted in feedforward loop. The variations of hinge moment were identified online requiring no prior knowledge. The controller also had good regulations to other uncertainties and external disturbances. The closed loop control system was proved to be globally uniform asymptotically stable. The simulation results showed that the designed algorithm was effective in compensating the deadzone, improved tracking performance, shortened settling time, and had good robustness and stability to disturbances and parameters variations.
For deadzone, parameters variations and disturbances in missile servo control system, a robust adaptive fuzzy fast terminal sliding mode controller was proposed to compensate deadzone, uncertainties and other disturbances. An adaptive fuzzy logic controller for the deadzone dynamic compensation was adopted in feedforward loop. The variations of hinge moment were identified online requiring no prior knowledge. The controller also had good regulations to other uncertainties and external disturbances. The closed loop control system was proved to be globally uniform asymptotically stable. The simulation results showed that the designed algorithm was effective in compensating the deadzone, improved tracking performance, shortened settling time, and had good robustness and stability to disturbances and parameters variations.
引文
[1]X.S.Wang,C.Y.Su and H.Hong,Robust adaptive control of a class of nonlinear systems with unknown dead-zone,Proceedings of the 40th IEEE Conference on Decision and Control,2011:1627-1632;
[2]W.Zhonghua,Y.Bo,C.Lin and Z.Shusheng,Robust adaptive deadzone compensation of DC servo system,IEE Proceedings Control Theory and Applications,153(6):709–713,2006;
[3]K.T.Woo,F.L.Lewis,Li-Xin Wang and Z.X.Li,Deadzone compensation in motion control systems using adaptive fuzzy logic control,Proceedings of the 1997 IEEE International Conference on Robotics and Automation,1997:1424-1429;
[4]J.H.Kim,J.H.Park,S.W.Lee and E.K.P.Chong,Fuzzy precompensation of PD controllers for systems with deadzones,Journal of Intelligent and Fuzzy Systems,1(2):125-133,1993;
[5]J.H.Kim,J.H.Park,S.W.Lee and E.K.P Chong,A two-layered fuzzy logic controller for systems with deadzone,IEEE Transactions on Industrial Electronics,41(2):155-162,1994;
[6]F.L.Lewis,K.Liu,R.Selmic and L.X Wang,Adaptive fuzzy logic compensation of actuator deadzones,Journal of Field Robotics,14(6):501-511,1997;
[7]K.F.Zhang,K.M.Zhang,D.W.Rao,T.Lun and L.H.Duan,Friction and Moment Disturbances Compensation for missile servo control system,Proceeding of 12th World Congress on Intelligent Control and Automation,2016:234-239;
[8]K.F.Zhang,D.W.Rao,J.B.Zhu and L.H.Duan,Real-time online Compensation Nonlinearities and Uncertainties in Missile Servo Control System,Proceeding of 27th Chinese Control and Decision Conference,2015:1339-1344;
[9]J.Campos,F.L.Lewis,Deadzone compensation in discrete time using adaptive fuzzy logic,Proceedings of the 37th IEEE Conference on Decision and Control,1998:2920-2926.
[2]W.Zhonghua,Y.Bo,C.Lin and Z.Shusheng,Robust adaptive deadzone compensation of DC servo system,IEE Proceedings Control Theory and Applications,153(6):709–713,2006;
[3]K.T.Woo,F.L.Lewis,Li-Xin Wang and Z.X.Li,Deadzone compensation in motion control systems using adaptive fuzzy logic control,Proceedings of the 1997 IEEE International Conference on Robotics and Automation,1997:1424-1429;
[4]J.H.Kim,J.H.Park,S.W.Lee and E.K.P.Chong,Fuzzy precompensation of PD controllers for systems with deadzones,Journal of Intelligent and Fuzzy Systems,1(2):125-133,1993;
[5]J.H.Kim,J.H.Park,S.W.Lee and E.K.P Chong,A two-layered fuzzy logic controller for systems with deadzone,IEEE Transactions on Industrial Electronics,41(2):155-162,1994;
[6]F.L.Lewis,K.Liu,R.Selmic and L.X Wang,Adaptive fuzzy logic compensation of actuator deadzones,Journal of Field Robotics,14(6):501-511,1997;
[7]K.F.Zhang,K.M.Zhang,D.W.Rao,T.Lun and L.H.Duan,Friction and Moment Disturbances Compensation for missile servo control system,Proceeding of 12th World Congress on Intelligent Control and Automation,2016:234-239;
[8]K.F.Zhang,D.W.Rao,J.B.Zhu and L.H.Duan,Real-time online Compensation Nonlinearities and Uncertainties in Missile Servo Control System,Proceeding of 27th Chinese Control and Decision Conference,2015:1339-1344;
[9]J.Campos,F.L.Lewis,Deadzone compensation in discrete time using adaptive fuzzy logic,Proceedings of the 37th IEEE Conference on Decision and Control,1998:2920-2926.