Abstract

The sliding mode control algorithm based on grey prediction theory is proposed in this study, aiming at the uncertainties in the servo system of fruit harvesting robot and the external disturbances that may affect the control quality of conventional sliding mode control algorithm. The proposed algorithm uses the grey theory ability to unknown information data to establish the grey model to the uncertainty and real-time compensate the unmodeled dynamics and the interference signal of system. Meanwhile, an improved reaching law direction is proposed to resist chattering and improve control accuracy. The simulation results show that the proposed sliding mode control algorithm effectively predicts and compensates the unmodeled dynamics and disturbances signal in the DC motor servo system of the fruit harvesting robot and improves the control precision of controller which provides the theoretical basis for the industrial application based on the grey prediction theory of sliding mode control algorithm.

Keywords:

Digital simulation, fruit harvesting robot, grey prediction, interference, noise, sliding mode control,

References

1. Cai, J., F. Wang, Q. Lü and J. Wang, 2009. Real-time path planning for citrus picking robot based on SBL-PRM [J]. T. Chinese Soc. Agric. Eng. (Transactions of the CSAE), 25(6): l58-162 (In Chinese with English abstract).
   
2. Deng, J.L., 1990. The grey system theory tutorial. Huazhong University of Science and Technology Press, Wuhan, China.
   
3. Gao, W.B., 1996. Variable structure control theory and design method [M]. Science Press, Beijing.
   
4. Ji, W.J. and B.W. Gu, 2006. Application of grey prediction model GM (0, N) for yield trend forecast of early spring crops in Yunnan province [J]. Chinese J. Agrometeorol., 27(3): 229-232.
   
5. Kim, Y.S., Y.S. Han and W.S. You, 1996. Disturbance observer with binary control theory [C]. Proceeding of the 27th Annual IEEE Power Electronics Specialists Conferences. Baveno, Italy, 6: 1229-1234.
   
6. Liang, X.F. and Y.W. Wang, 2006. Analysis and treatment of singularity for a tomato harvesting manipulator [J]. T. Chinese Soc. Agric. Eng. (Transactions of the CSAE), 22(1): 85-88 (In Chinese with English abstract).
   
7. Liang, X.F., Y.W. Wang and X. Miao, 2008. Motion planning of a tomato harvesting manipulator for obstacle avoidance [J]. T. Chinese Soc. Agric. Mach., 39(11): 89-93 (In Chinese with English abstract).
   
8. Liang, X.F., X.W. Miao, S.R. Cui and Y.W. Wang, 2005. Experiments of optimization and simulation on kinematics of a tomato harvesting manipulator [J]. T. Chinese Soc. Agric. Mach., 36(7): 96-100 (In Chinese with English abstract).
   
9. Lin, F.J. and W.D. Chou, 2003. An induction motor servo drive using sliding mode controller with genetic algorithm [J]. Electr. Pow. Syst. Res., 64(2): 93- 108.
   CrossRef    
10. Liu, S.F., 2004. Emergence and development of grey system theory and its forward trends [J]. J. Nanjing Univ., Aeronaut. Astronaut., 36(2): 267-272.
    
11. Liu, S.N. 2009. Design on location controller for grey sliding mode turned to structure [J]. Coal Eng., 12: 24-26.
    
12. Liu, J.K. and F.C. Sun, 2007. Research and development on theory and algorithms of sliding mode control [J]. Control Theor. Appl., 24(3): 407-418.
    
13. Liu, J., P. Li and Z. Li, 2008. Hardware design of the end-effector for tomato-harvesting robot [J]. T. Chinese Soc. Agric. Mach., 39(3): 109-112 (In Chinese with English abstract).
    
14. Men, H., C. Zhang, P. Zhang and H. Gao, 2013. Application of electronic tongue in edible oil detection with cluster algorithm based on artificial fish swarm improvement. Adv. J. Food Sci. Technol., 5(04): 469-473.
    
15. Qian, S.M., Q.H. Yang, Z.H. Wang, G.J. Bao and L.B. Zhang, 2010. Research on holding characteristics of cucumber and end-effector of cucumber picking [J]. T. Chinese Soc. Agric. Eng. (Transactions of the CSAE), 26(7): 107-112 (In Chinese with English abstract).
    
16. Qinghua, Y., W. Yan, G. Feng, B. Guanjun and X. Yi, 2009. Trajectory tracking with terminal sliding mode control of cucumber picking robot manipulator based on cycloidal motion [J]. T. Chinese Soc. Agric. Eng. (Transactions of the CSAE), 25(5): 94-99 (In Chinese with English abstract).
    
17. Su, W.C., S.V. Drakunov, U. Ozguner and K.D. Young, 1993. Sliding mode with chattering reduction in sampled data systems [C]. Proceeding of the 32nd IEEE Conference on Decision and Control. San Antonio, USA, 3: 2452- 2457.
    
18. Tanigaki, K., T. Fujiura, A. Akase and J. Imagawa, 2008. Cherry-harvesting robot [J]. Comput. Electron. Agr., (63): 65-72.
    
19. Yan, Y., S. Zhu, H. Wang and J. Liu, 2010. Highway transport volume prediction method based on GM (0, N). Gray Syst. Wuhan Univ., Technol. J. Trans. Sci. Eng. Edn., 34(1): 93-96.
    
20. Yuan, Y.W., X.C. Zhang and X. Hu, 2009. Algorithm for optimization of apple harvesting path and simulation [J]. T. Chinese Soc. Agric. Eng. (Transactions of the CSAE), 25(4): 141-144 (In Chinese with English abstract).
    
21. Zhang, J., 2010. Analysis of adaptive flexibility of three•finger manipulator with six-joint for grasping apple [J]. T. Chinese Soc. Agri. Eng. (Transactions of the CSAE), 26(1): 140-144 (In Chinese with English abstract).
    

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