The low-speed maglev train presented by national maglev transportation engineering R&D center was regarded as the research object. The design of magnetic suspension control (MSC) system under disturbance, nonlinear and time variant was discussed. Firstly, the nonlinear dynamic model of the MSC system was derived and the simulation platform of the MSC system was established. Next, the linear PD control law was designed. The simulation results show its performance depended on parameters and its robust was weak. An improved sliding mode controller was developed to improve the robustness by utilizing exponential reaching law and variable boundary layer. The Lyapunov method was employed to prove its stability. The sufficient simulations show that the presented control method had good dynamic performance, high control accuracy and strong robustness without chattering. Finally, the experiment verified the effectiveness of the improved sliding mode controller.
[1] SUN Yougang, LI Wanli, QIANG Haiyan, et al. An Experimental Study on the Vibration of the Low-Speed Maglev Train Moving on the Guideway with Sag Vertical Curves [J]. International Journal of Control and Automation, 2016, 9(4): 279.
[2] 张佩竹. 我国中低速磁浮交通工程的自主创新技术研究[J]. 铁道工程学报, 2009, 133(10) : 90.ZHANG Peizhu. Research on the Technology for the Self- innovation of Low/Medium- speed Maglev Traffic Engineering [J]. Journal of Railway Engineering Society, 2009, 133(10): 90.
[3] 周晓明, 刘万明. 长沙中低速磁浮工程建设中的重要举措[J]. 城市轨道交通研究, 2016, 19(5): 1.ZHOU Xiaoming, LIU Wanming. Key Technologies in the Construction of Medium and Low Speed Maglev in Changsha City [J]. Urban Mass Transit, 2016, 19(5): 1.
[4] 龙志强, 郝阿明, 常文森. 考虑轨道周期性不平顺的磁浮列车悬浮控制系统设计 [J]. 国防科技大学学报, 2003, 25(2): 84.LOU Zhiqiang, HAO Aming, CHANG Wensen. Suspension Controller Design of Maglev Train Considering the Rail Track Periodical Irregularity [J]. Journal of National University of Defense Technology, 2003, 25(2): 85.
[5] Lindlau J D, Knospe C R. Feedback linearization of an active magnetic bearing with voltage control [J]. IEEE Transactions on Control Systems Technology, 2002, 10(1): 21.
[6] 宋文荣, 于国飞, 王延风, 等. 磁悬浮微进给机构的PID控制[J]. 哈尔滨工业大学学报, 2004, 36(1): 28.SONG Wenrong, YU Guofei, WANG Yanfeng, et al. PID control of micro feed mechanism based on magnetic levitation technology [J]. Journal of Harbin Institute of Technology, 2004, 36(1): 28.
[7] 戴利明, 齐斌, 周海波, 等. 磁悬浮运动平台的PID控制[J]. 现代制造工程, 2008(6): 79.DAI Liming, QI Bin, ZHOU Haibo, et al. PID control and experiment for magnetism levitation movement system [J]. Modern Manufacturing Engineering, 2008(6): 79.
[8] Wai R J, Chen M W, Yao J X. Observer-based adaptive fuzzy-neural-network control for hybrid maglev transportation system [J]. NEUROCOMPUTING, 2016, 175:10
[9] 王辉, 钟晓波, 沈钢. 一种新型磁悬浮线路设计方案及悬浮控制方法[J]. 同济大学学报(自然科学版), 2013, 41(7): 1112.WANG Hui, ZHONG Xiaobo, SHEN Gang. A New Maglev Line System Design and Control Strategy [J]. Journal of Tongji University (Natural Science), 2013, 41(7): 1112.
[10] Tran X T, Kang H J. Arbitrary Finite-time Tracking Control for Magnetic Levitation Systems [J], International Journal Of Advanced Robotic Systems, 2014(11): 1.
[11] Su X, Yang X, Shi P, et al. Fuzzy control of nonlinear electromagnetic suspension systems[J], Mechatronics, 2014, 24(4): 328.
[12] Wang H, Zhong X B, Shen G. Analysis and experimental study on the MAGLEV vehicle-guideway interaction based on the full-state feedback theory [J]. Journal of Vibration and Control, 2015, 12(2): 408.
[13] Sun Y G, Qiang H Y, Lin G B, et al. Dynamic Modeling and control of nonlinear electromagnetic suspension systems [J]. Chemical Engineering Transactions, 2015(46): 1039.
[14] 徐俊起. 基于力平衡的磁悬浮控制方法[J]. 电机与控制应用, 2010, 37(11): 20.XU Junqi. Magnetic Suspension Control Method Based on Force Balance [J]. Electric Machines Control Application, 2010, 37(11): 20.
[15] Sun Y G, Li W L, Chang D F, et al. Dynamic and Decoupling Analysis of the Bogie with Single EMS Modules for Low-speed Maglev Train [J]. Advanced Science and Technology Letters, 2016, 121: 83.
[16] 张思远. 磁悬浮数字控制技术[D]. 上海: 同济大学汽车学院, 2009.ZHANG Siyuan. The design of digital control method for maglev[D]. Shanghai: Tongji University. College of AutomotiveEngineering, 2009.
[17] Rudi U, Adha I, Oyas W. Modified Sliding Mode Control with Uncertainties Behavior of a Magnetic Levitation System [C]. IEEE International Conference on Robotics, 2013, 823(1):194.
[18] Wai R J, Chuang K L, Lee J D. On-Line Supervisory Control Design for Maglev Transportation System via Total Sliding-Mode Approach and Particle Swarm Optimization [J]. IEEE Transactions on Automatic Control, 2010, 55(7): 1544.