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Improved Torque Control of Electrical Load Simulator with Parameters and State Estimation
Abstract:ELS is an important ground based hardware in the loop simulator used for aerodynamics torque loading experiments of the actuators under test. This work focuses on improvement of the transient response of torque controller with parameters uncertainty of Electrical Load Simulator (ELS).The parameters of load simulator are estimated online and the model is updated, eliminating the model error and improving the steady state torque tracking response of torque controller. To improve the Transient control performance the gain of robust term of SMC is updated online using fuzzy logic system based on the amount of uncertainty in parameters of load simulator. The states of load simulator which cannot be measured directly are estimated using luenberger observer with update of new estimated parameters. The stability of the control scheme is verified using Lyapunov theorem. The validity of proposed control scheme is verified using simulations.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1331225Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1705
 J. Zongxia, L. Chenggong, and R. Zhiting, "The extraneous torque and compensation control on the electrical load simulator", 5th International symposium on instrumentation and control technology, SPIE volume .5253,2003.
 Z. X. Jiao, R. X. GAO,Q. Hua, and S. P. Wang, "The Velocity Synchronizing Control on the Electro-Hydraulic Load Simulator", Chinese Journal of Aeronautics, vol. 17 no. 1, February 2004.
 X .Wang, S .Wang , and X. Wang, "Electrical load simulator based on velocity loop compensation and improved fuzzy PID", IEEE International symposium on industrial electronics(ISIE 2009),Seoul Olympic parktel ,Seoul, Korea , July 5-8 ,2009.
 Q. Fang, Y. Yao, and X.C. Wang, "Disturbance observer design for electric aerodynamics load simulator", Proceeding of 4th internal conference on machine learning and cybernetics, Guangzhou, August 18- 21, 2005
 K. Ohnishsi, N. Matsui,and Y. Hori, "Estimation, Identification and sensor less control in motion control system", Proceedings of the IEEE, Vol.82, No.8, August 1994.
 S. M. Yang, and Y. J. Deng, "Observer based inertial identification for Auto tuning servo motors drive", IAS 2005 IEEE.
 B. Zhang, Y. Li and Y. Zuo,"A DSP-based fully digital PMSM servo drive using on-line self-tuning PI controller", Proceeding of the 3rd Power Electronics and Motion Control Conference, vol. 2, Aug. 2000.
 R. Yuan, J. Luo,Z. wu , and K. Zhao ,"Study on Passive Torque Servo System Based on H Infinity Robust Controller", Proceedings of the 2006 IEEE International Conference on Robotics and Biometrics December 17 - 20, 2006, Kunming, China.
 J. Fan, Z. Zheng, and M. Lv,"Optimal sliding mode variable structure control for Load simulator", 2nd International Symposium on Systems and Control in Aerospace and Astronautics, 2008 ISSCAA 2008.
 X. Wang, and D. Feng,"A Study on Dynamics of Electric Load Simulator Using Spring beam and Feed forward Control Technique", 2009 Chinese Control and Decision Conference (CCDC 2009)
 Y. Huang, K. Chen, and J. Wei,"Robust Controller Design and Experiment for Electric Load Simulator", 2010 3rd International Conference on Advanced Computer Theory and Engineering (lCACTE).
 W. Xin, and F. D Zhu,"Load Simulator Design and Ground Test of Near Space Hypersonic Vehicle", Journal of System Simulation, Vol. 21 No. 19, Oct., 2009.
 H. Yong, X. Lu, Y. Jie and S. Li,"The Controller Designed for motor servo loading system based on ITAE", 1994-2010 China academic journal.
 L. Peng, and L. Hui,"Controller Design for missile rudder electric loading simulation system", Journal of Computer, measurement and control, 2010.
 G. Jing, L. Cao and R. M. In,"Simulation of control method of torque servo system with position disturbance", Journal of Beijing Institute of Machinery, Vol. 20 No. 2, Jun. 2005.
 U. Nasim, S. Wang, and J. Aslam,"Adaptive Robust Control of Electrical Load Simulator based on Fuzzy Logic Compensation", International Conference on Fluid Power and Mechatronics 17-20 August 2011,Beijing China.
 X. Wang, D. Feng, and S. Sun,"Electric load motion control system design with invariance theory", IEEE Chinese control and decision conference (CCDC),2009
 B. K. Yoo, and W. C. Ham,"Adaptive Control of Robot Manipulators Using Fuzzy Compensator", IEEE Transaction on Fuzzy Systems ,Vol.8, No.2,April 2000.