Control of an Uncertain Robot Manipulator Using an Observation-based Modified Fuzzy Sliding Mode Controller

Full Text (PDF, 449KB), PP.41-49

Views: 0 Downloads: 0

Author(s)

Shahnaz TayebiHaghighi 1,* Farzin Piltan 2 Jong-Myon Kim 2

1. Control and Robotic Lab, IRAN SSP Research and Development Center, Shiraz, Iran

2. School of Electrical Engineering, University of Ulsan, Ulsan 680-749, South Korea

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2018.03.05

Received: 27 Jul. 2017 / Revised: 10 Oct. 2017 / Accepted: 27 Nov. 2017 / Published: 8 Mar. 2018

Index Terms

Sliding mode observer, fuzzy sliding mode controller, fuzzy logic theory, robot manipulator, observation technique, chattering phenomenon, robustness

Abstract

The main contribution of this paper is the design of a robust model reference fuzzy sliding mode observation technique to control multi-input, multi-output (MIMO) nonlinear uncertain dynamical robot manipulators. A fuzzy sliding mode controller was used in this study to control the robot manipulator in the presence of uncertainty and disturbance. To address the challenges of robustness, chattering phenomenon, and error convergence under uncertain conditions, the proposed sliding mode observer was applied to the fuzzy sliding mode controller. This theory was applied to a six-degrees-of-freedom (DOF) PUMA robot manipulator to verify the power of the proposed method.

Cite This Paper

Shahnaz Tayebihaghighi, Farzin Piltan, Jong-Myon Kim, "Control of an Uncertain Robot Manipulator Using an Observation-based Modified Fuzzy Sliding Mode Controller", International Journal of Intelligent Systems and Applications(IJISA), Vol.10, No.3, pp.41-49, 2018. DOI:10.5815/ijisa.2018.03.05

Reference

[1]Craig, John J. Introduction to robotics: mechanics and control. Vol. 3. Upper Saddle River: Pearson Prentice Hall, 2005.
[2]Singh, Parmendra, et al. "Sliding Mode Control of Uncertain Nonlinear Discrete Delayed Time System Using Chebyshev Neural Network." Advances in Computer and Computational Sciences. Springer, Singapore, 2017. 527-540.
[3]Utkin, Vadim, Jürgen Guldner, and Jingxin Shi. Sliding mode control in electro-mechanical systems. Vol. 34. CRC press, 2009.
[4]Li, Hongyi, Jiahui Wang, and Peng Shi. "Output-feedback based sliding mode control for fuzzy systems with actuator saturation." IEEE Transactions on Fuzzy Systems 24.6 (2016): 1282-1293.
[5]Xu, Jian-Xin, Zhao-Qin Guo, and Tong Heng Lee. "Design and implementation of integral sliding-mode control on an underactuated two-wheeled mobile robot." IEEE Transactions on industrial electronics 61.7 (2014): 3671-3681.
[6]J. J. E. Slotine, "Sliding controller design for non-linear systems," International Journal of Control, Vol. 40, No. 2, pp. 421-434, 1984.
[7]R. Palm, "Sliding mode fuzzy control," IEEE International conference on Fuzzy Systems,2002, pp. 519-526.
[8]Nikolay Karabutov, "Adaptive Observers for Linear Time-Varying Dynamic Objects with Uncertainty Estimation", International Journal of Intelligent Systems and Applications(IJISA), Vol.9, No.6, pp.1-14, 2017. DOI: 10.5815/ijisa.2017.06.01.
[9]Nikolay Karabutov, "Adaptive Observers with Uncertainty in Loop Tuning for Linear Time-Varying Dynamical Systems", International Journal of Intelligent Systems and Applications(IJISA), Vol.9, No.4, pp.1-13, 2017. DOI: 10.5815/ijisa.2017.04.01
[10]Xiao, Bing, Shen Yin, and Huijun Gao. "Reconfigurable Tolerant Control of Uncertain Mechanical Systems with Actuator Faults: A Sliding Mode Observer-Based Approach." IEEE Transactions on Control Systems Technology (2017).
[11]Goel, Ankur, and Akhilesh Swarup. "Chattering Free Trajectory Tracking Control of a Robotic Manipulator Using High Order Sliding Mode." Advances in Computer and Computational Sciences. Springer, Singapore, 2017. 753-761.
[12]Xu, Qingsong. "Precision Motion Control of Piezoelectric Nanopositioning Stage with Chattering-Free Adaptive Sliding Mode Control." IEEE Transactions on Automation Science and Engineering 14.1 (2017): 238-248.
[13]Djeghali, Nadia, et al. "Observation and sliding mode observer for nonlinear fractional-order system with unknown input." ISA transactions 63 (2016): 1-10.
[14]Chalanga, Asif, et al. "Implementation of super-twisting control: super-twisting and higher Order sliding-mode observer-based approaches." IEEE Transactions on Industrial Electronics 63.6 (2016): 3677-3685.
[15]Luna, Julio, et al. "Nonlinear observation in fuel cell systems: A comparison between disturbance estimation and High-Order Sliding-Mode techniques." International Journal of Hydrogen Energy 41.43 (2016): 19737-19748.