Please wait a minute...
J4  2009, Vol. 43 Issue (12): 2178-2185    DOI: 10.3785/j.issn.1008-973X.2009.12.009
    
Fuzzy decision based sliding mode robust adaptive control for bulldozer
BAI Han, GUAN Cheng, PAN Shuang-xia
(College of Mechanical and Energy Engineering, Zhejiang University, Hangzhou 310027, China)
Download:   PDF(1235KB) HTML
Export: BibTeX | EndNote (RIS)      

Abstract  

An automatic control strategy was proposed for bulldozer working device to improve working efficiency. The bulldozer blade position was optimized by fuzzy decision combined with human experience and experiments according to engine speed and its change rate. A sliding mode robust adaptive controller was designed to track the fuzzy decision values considering the characteristics of electro-hydraulic servo system. The recursive technique and state feedback linearization scheme were used to obtain a sliding mode controller.The system parameter update law was presented and a robust adaptive controller combined with sliding mode method was designed to accurately track fuzzy decision values based on Lyapunov stability theory. Experimental results show that the sliding mode robust adaptive controller has good robustness and remarkably improves the tracking accuracy. Fuzzy decision reasonably optimizes the desired blade position and improves the bulldozer working efficiency.



Published: 16 January 2010
CLC:  TP 271  
Cite this article:

BAI Han, GUAN Cheng, BO Shuang-Jia. Fuzzy decision based sliding mode robust adaptive control for bulldozer. J4, 2009, 43(12): 2178-2185.

URL:

http://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2009.12.009     OR     http://www.zjujournals.com/eng/Y2009/V43/I12/2178


基于模糊决策的推土机滑模鲁棒自适应控制

针对推土机作业效率低的问题,提出了一种推土机工作装置的自动控制方法.根据推土机发动机转速和转速变化率,结合操作经验和试验结果,采用模糊决策的方法对铲刀位置进行优化.考虑电液伺服系统的特性,设计了一种基于逐步递推方法的滑模鲁棒自适应控制器,用以跟踪经过模糊决策的铲刀目标位置.利用逐步递推方法和状态反馈线性化的方法,得到系统的滑模控制器;依据Lyapunov稳定性理论,得出系统的参数自适应律,并在自适应控制中引入鲁棒控制的设计方法,实现对模糊决策量的精确位置跟踪控制.实验结果表明,滑模鲁棒自适应控制具有较强的鲁棒性和良好的跟踪性能,模糊决策合理地优化铲刀目标调整位置,提高推土作业效率.


[1] 张琦,冯培恩. 模糊参数自整定PID控制技术在推土机自动控制系统中的应用
[J]. 控制理论与应用, 1997, 14(2): 287-291.
ZHANG Qi, FENG Pei-en. Application of PID control technique based on parameter fuzzy self-modify in dozer control system
[J]. Control Theory and Applications, 1997, 14(2): 287-291.

[2] TERANO T, MASUI S, NAGAYA K. Experimental study of fuzzy control for bulldozer
[C]∥Proceedings of 1992 IEEE Region 10 International Conference. Melbourne, Australia: IEEE, 1992:644-647.

[3] 王世明. 推土机工作装置CMAC神经网络控制
[J].农业机械学报,2005,36(2):140-142.
WANG Shi-ming. CMAC neural network control for bulldozer working device
[J]. Transactions of the Chinese Society for Agricultural Machinery, 2005, 36(2): 140-142.

[4] STOEV J,CHOI J Y,FARRELL J.Adaptive control for output feedback nonlinear systems in the presence of modeling errors
[J].Automatica,2001,38(8):1761-1767.

[5] ZHOU J,ZHANG C,WEN C.Robust adaptive output control of uncertain nonlinear plants with unknown backlash nonlinearity
[J].IEEE Transactions on Automatic Control,2007,52(3) :503-509.

[6] ZHU Xiao-long, ZHANG Xian-da, DING Zi-zhe, et al.Adaptive nonlinear PCA algorithms for blind source separation without prewhitening
[J].IEEE Transactions on Circuits and Systems—I:Regular Papers,2006,53(3):143-149.

[7] LIN F J, TENG L T, SHIEH P H. Intelligent adaptive backstepping control system for magnetic levitation apparatus
[J]. IEEE Transactions on Magnetics, 2007, 43(5): 2009-2018.

[8] LIU H, COSTA R R, LIZARRALDE F. Lyapunov/Passivity based adaptive control of relative degree two MIMO systems with an application to visual servoing
[J]. IEEE Transactions on Automatic Control, 2007, 52(2): 364-371.

[9] 管成,朱善安.一类非线性系统的微分与积分滑模自适应控制及其在电液伺服系统中的应用
[J].中国电机工程学报,2005,25(4):103-108.
GUAN Cheng,ZHU Shan-an.Derivative and integral sliding mode adaptive control for a class of nonlinear system and its application to an electro-hydraulic servo system
[J].Proceedings of the CSEE,2005,25(4):103-108.

[10] KINO H, YAHIRO T, TAKEMURA F, et al. Robust PD control using adaptive compensation for completely restrained parallel-wire driven robots: translational systems using the minimum number of wires under zero-gravity condition
[J]. IEEE Transactions on Robotics, 2007, 23(4): 803-812.

[11] HONG Yun, YAO Bin. A globally stable high-performance adaptive robust control algorithm with input saturation for precision motion control of linear motor Drive
[J]. IEEE/ASME Transactions on Mechatronics, 2007, 12(2): 198-207.

[12] BIN Y,BU F P,REEDY J,et al.Adaptive robust motion control of single-rod hydraulic actuators : theory and experiments
[J].IEEE/ASME Transactions on Mechatronics,2000,5(1):79-91.

[13] LEVER P J A, WANG Fei-yue, CHEN De-qian. A fuzzy control system for an automated mining excavator
[C]∥ Proceedings of 1994 IEEE International Conference on Robotics & Automation. San Diego, CA:IEEE, 1994:3284-3289.

[14] HA Q P, RYE D C. Robotic excavator swing control using fuzzy rotating sliding model
[C]∥Proceedings of the 10th IEEE International Conference on Fuzzy Systems. Melbourne, Australia: IEEE,2001:332-335.

[15] RAADE J W,KAZEROONI H.Analysis and design of a novel hydraulic power source for mobile robots
[J].IEEE Transactions on Automation science and Engineering,2005,2(3): 226-232.

[16] HAGGAG S,ALSTROM D,CETINKUNT S,et al.Modeling,control,and validation of an electro-hydraulic steer-by-wire system for articulated vehicle applications
[J]. IEEE/ASME Transactions on Mechatronics,2005,10(6):688-692.

[17] 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.

[18] HONG L,KIL T C,TAE S N,et al.Vehicle longitudinal brake control using variable parameter sliding control
[J].Control Engineering Practice,2003,11(4):403-411.

[1] YU Miao, WANG Jia-sen, QI Dong-lian. Output-feedback adaptive learning control with unknown control direction[J]. J4, 2013, 47(8): 1424-1430.
[2] CHEN Li, YANG Ying-chun. Emotional speaker recognition based on similar neighbor phenomenon[J]. J4, 2012, 46(10): 1790-1795.
[3] ZHANG Lei, WU Yi-jie, WANG Bin, LIU Xiao-liang. Multi-objective optimization method of spatial flexiblecomponent
based on orthogonal tests
[J]. J4, 2012, 46(8): 1419-1423.
[4] ZHANG Lei, WU Yi-jie, LI Jia-qi, WANG Bin, LIU Xiao-liang. Variable magnetic permeability self-sensing model of
GMM based on dynamic coil impedance measurement
[J]. J4, 2011, 45(10): 1726-1731.
[5] HU Xu-xiao, PAN Xiao-hong, HE Wei, CHEN Gang. Step by step fitting algorithm for multi-order exponential function[J]. J4, 2010, 44(12): 2365-2369.
[6] BAI Han, GUAN Cheng. Robust adaptive dynamic surface control of electro-hydraulic
proportional system
[J]. J4, 2010, 44(8): 1441-1448.