A novel active disturbance rejection-based control strategy for a gun control system

Journal of Mechanical Science and Technology

Volumn 26, Issue 12, 2012, Pages 4141-4148

  Gao, Qiang ^a   Sun, Zhan ^b   Yang, Guolai ^a   Hou, Runmin ^a   Wang, Li ^a   Hou, Yuanlong ^a  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b North Automatic Control Technology Institute   (China)

Author keywords

Active disturbance rejection control; Gun control system; Neutral network; Semi physical simulation

Indexed keywords

AC MACHINERY;

ACTIVE DISTURBANCE REJECTION; ACTIVE DISTURBANCE REJECTION CONTROLS; CONTROL STRATEGIES; GUN CONTROL SYSTEMS; NETWORK EMBEDDING; NEUTRAL NETWORK; SEMI-PHYSICAL SIMULATIONS; UPDATING APPROACHES;

DISTURBANCE REJECTION;

EID: 84876977415     PISSN: 1738494X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12206-012-0879-4     Document Type: Article

References (26)

1. H. Xian, W. Yang and W. D. Zhang et al., The application of dual-PID regulation based on sliding mode control in a tank artillery stabilizer, In: 2011 Fourth International Conference on Intelligent Computation Technology and Automation, IEEE computer society, 2011, DOI: 10. 1109/ICICTA. 2011. 190.
2. D. Yuan et al., Overview of adaptive compensation control of nonlinearities in tank gun control system, Fire control & command control, 35 (11) (2010) 1-5.
3. L. Feng, X. J. Ma and Z. F. Yan et al., Method of adaptive fuzzy sliding mode control of gun control system of tank, Electric Machines and Control, 11 (1) (2007) 65-69.
4. H. Liang, C. M. Ma and J. F. Pan et al. Current situation and development trend of autoloader in large caliber howitzer, Journal of Gun Launch and Control, 3 (2010) 103-107.
5. K. K. Ahn and T. D. C. Thanh, Nonlinear PID control to improve the control performance of the pneumatic artificial muscle manipulator using neural network, Journal of Mechanical Science and Technology, 19 (1) (2005) 106-115.
6. D. Yuan, X. J. Ma, L. Y. Li et al., Adaptive compensation control method of nonlinearity in tank gun control system based on equivalent disturbance, Fire Control & Command Control, 36 (6) (2011) 70-73.
7. L. Feng, X. M. Lei and X. J. Ma et al., Adaptive sliding mode robust control of gun control system of tank, Fire Control & Command Control, 35 (10) (2010) 55-58.
8. J. Q. Han, From PID to active disturbance rejection control, IEEE Transactions on Industrial Electronics, 56 (3) (2009) 900-906.
9. G. Tian and Z. Q. Gao, Benchmark tests of active disturbance rejection control on an industrial motion control plat-form, In: 2009 American Control Conference, St. Louis, MO, USA, 2009.
10. J. Vincent, D. Morris and N. Usher et al., On active disturbance rejection based control design for superconducting RF cavities, Nuclear Instruments and Methods in Physics Re-search A, 643 (2011) 11-16.
11. Y. Q. Xia, B. Liu and M. Y. Fu, Active disturbance rejection control for power plant with a single loop, Asian Journal of Control, 14 (2) (2010) 1-12.
12. D. Wu and K. Chen, Application of active disturbance rejection control to variable spindle turning process, IEEE Transactions on Industrial Electronics, 56 (7) (2009) 2746-2753.
13. S. L. Li, X. Yang and D. Yang, Active disturbance rejection control for high pointing accuracy and rotation speed, Automatica, 45 (8) (2009) 1854-1860.
14. J. W. Jeong, P. H. Chang and K. B. Park, Sensorless and modeless estimation of external force using time delay estimation: application to impedance control, Journal of Mechanical Science and Technology, 25 (8) (2011) 2051-2059.
15. D. K. Han and P. Chang, Robust tracking of robot manipulator with nonlinear friction using time delay control with gradient estimator, Journal of Mechanical Science and Tech-nology, 24 (8) (2010) 1743-1752.
16. W. Y. Chen, F. L. Chu and S. Z. Yan, Stepwise optimal design of active disturbances rejection vibration controller for intelligent truss structure based on adaptive genetic algorithm, Journal of Mechanical Engineering, 46 (7) (2010) 74-81.
17. Z. X. Zhou, Y. Y. Qu and J. D. Yang et al., Speed regulation system of permanent magnet linear synchronous motor for machine tool feeding Based on improved ADRC. China Mechanical Engineering, 19 (21) (2008) 2561-2565.
18. Z. X. Zhou, J. D. Yang, Y. Y. Qu et al., Horizontal thrust control of magnetic suspension platform Based on active disturbance rejection controller. Journal of Mechanical Engineering, 44 (9) (2008) 193-199.
19. A. A. Stanislavsky, Memory effects and macroscopic manifestation of randomness. Physical Review E, 61 (5) (2000) 4752-4759.
20. E. Ahmeda and A. S. Elgazzar, On fractional order differential equations model for nonlocal epidemics, Physica A, 379 (2007) 607-614.
21. M. S. Tavazoei and M. Haeri, Chaos control via a simple fractional-order controller, Physics Letters A, 372 (2008) 798-807.
22. C. B. Ma and Y. Hori, The application of fractional order control to backlash vibration suppression. In: Proceeding of the 2004 American Control Conference, Boston, Massachu-setts, USA, 2004.
23. X. Q. Zhou, Z. W. Zhu and S. X. Zhao et al., An improved adaptive feedforward cancellation for trajectory tracking of fast tool servo based on fractional calculus. Procedia Engineering, 15 (2011) 315-320.
24. X. Q. Zhou, Z. W. Zhu and S. X. Zhao et al., A novel hybrid control strategy for trajectory tracking of fast tool servo, In: 2010 2nd International Conference on Mechanical and Electronics Engineering, Tokyo, Japan, 2010.
25. H. Leeghim, I. H. Seo and H. C. Bang, Adaptive nonlinear control using input normalized neural networks, Journal of Mechanical Science and Technology, 22 (6) (2008) 1073-1083.
26. J. H. Chen and T. C. Huang, Applying neural networks to online updated PID controllers for nonlinear process control, Journal of Process Control, 14 (2004) 211-230.