Design of an Optimal Fuzzy Controller of an Under-Actuated Manipulator Based on Teaching-Learning-Based Optimization
References
- 1. Baghban A., Kardani M.N., Mohammadi A.H. (2018), Improved estimation of Cetane number of fatty acid methyl esters (FAMEs) based biodiesels using TLBO-NN and PSO-NN models, Fuel, 232, 620–631.
- 2. Craig J.J. (1989), Introduction to robotics. Mechanics and Control, Boston, MA, USA, Addison-Wesley Longman Publishing Co, Inc.
- 3. Deng Y., Zhang X., Im N., Zhang G., Zhang Q. (2019), Event-triggered robust fuzzy path following control for underactuated ships with input saturation, Ocean Engineering, 186(1), 106122.
- 4. He G.P., Wang Z.L., Zhang J., Geng Z.Y. (2014), Characteristics analysis and stabilization of a planar 2R underactuated manipulator, Robotica, Cambridge University Press, 1–17.
- 5. Ho H.F., Wong Y.K., Rad A.B. (2007), Robust fuzzy tracking control for robotic manipulator, IFSA World Congress and 20th NAFIPS International Conference, 801–816.
- 6. Karimi M., Safarinejadian B. (2011), On-line control of the inverted pendulum with type-2 fuzzy logic controller, 2nd International Conference on Control, Instrumentation and Automation (ICCIA), 429–433.
- 7. Khooban M.H. (2014), Design an intelligent proportional-derivative (PD) feedback linearization control for nonholonomic-wheeled mobile robot, Journal of Intelligent & Fuzzy Systems, 26, 1833–1843.
- 8. Kumar M., Mittal M.L., Soni G., Joshi D. (2018), A hybrid TLBO-TS algorithm for integrated selection and scheduling of projects, Computers & Industrial Engineering, 119, 121–130.
- 9. Lim C.M., Hiyama T. (1991), Application of fuzzy logic control to a manipulator, IEEE Transactions on Robotics and Automation I, 5, 688–691.
- 10. Lin X., Nie J., Jiao Y., Liang K., Li H. (2018), Adaptive fuzzy output feedback stabilization control for the underactuated surface vessel, Applied Ocean Research, 74(1), 40–48.
- 11. Ma X.J., Sun Z.Q., He Y.Y. (1998), Analysis and design of fuzzy controller and fuzzy observer, IEEE Transactions on Fuzzy Systems, 6(1), 41–50.
- 12. Mahindrakar A.D., Rao S., Banavar R.N. (2006), Point-to-point control of a 2R planar horizontal underactuated manipulator, Mechanism and Machine Theory, 41, 838–844.
- 13. Mahmoodabadi M.J., Danesh N. (2017), Gravitational search algorithm based fuzzy control for a nonlinear ball and beam system, Journal of Control and Decision, 5(3), 229–240.
- 14. Mahmoodabadi M.J., Mottaghi M.B.S., Mahmodinejad A. (2016), Optimum design of fuzzy controllers for nonlinear systems using multi-objective particle swarm optimization, Journal of Vibration and Control, 22(3), 769–783.
- 15. Naghibi S.R., Pirmohamadi A.A., Moosavian S.A.A. (2017), Fuzzy MTEJ controller with integrator for control of underactuated manipulators, Robotics and Computer-Integrated Manufacturing, 48(1), 93–101.
- 16. Nguyen A.T., Sentouh C., Popieul J.C. (2018), Fuzzy steering control for autonomous vehicles under actuator saturation: Design and experiments, Journal of the Franklin Institute, 355(18), 9374–9395.
- 17. Patel P., Nakum B., Abhishek K., Kumar V.R., Kumar A. (2018), Optimization of Surface Roughness in Plasma Arc Cutting of AISID2 Steel Using TLBO, Materials Today: Proceedings, 5 (9), 18927–18932.
- 18. Rao K.V. (2019), Power consumption optimization strategy in micro ball-end milling of D2 steel via TLBO coupled with 3D FEM simulation, Measurement, 132, 68–78.
- 19. Rao R.V., Savsani V.J., Vakharia D.P. (2011), Teaching-learning-based optimization: a novel method for constrained mechanical design optimization problems, Computer-Aided Design, 43, 303–315.
- 20. Rao R.V., Savsani V.J., Vakharia D.P. (2012), Teaching-learning-based optimization: an optimization method for continuous non-linear large scale problems, Information Sciences, 183(1), 1–12.
- 21. Spong M.W., Hutchinson S., Vidyasagar M. (2005), Robot modeling and control, John Wiley & Sons, Inc.
- 22. Sugeno M., Kang G.T. (1988), Structure identification of fuzzy model, Fuzzy Sets and Systems, 28(1), 15–33.
- 23. Takagi T., Sugeno M. (1985), Fuzzy identification of systems and its applications to modeling and control, IEEE Transactions on Systems, Man and Cybernetics, 15 (1), 116–132.
- 24. Vahidi-Moghaddam A., Rajaei A., Ayati M. (2019), Disturbance-observer-based fuzzy terminal sliding mode control for MIMO uncertain nonlinear systems, Applied Mathematical Modelling, 70(1), 109–127.
- 25. Wang L.X. (1996), A Course in Fuzzy Systems and Control, Upper Saddle River, United States Prentice-Hall International, Inc.
- 26. Wang N., Sun Z., Yin J., Zou Z., Sud S.F. (2019), Fuzzy unknown observer-based robust adaptive path following control of underactuated surface vehicles subject to multiple unknowns, Ocean Engineering, 176(1), 57–64.
- 27. Yi J., Yubazaki N., Hirota K. (2001), Stabilization control of ball and beam systems, IFSA World Congress and 20th NAFIPS International Conference, 2229–2234.
- 28. Yoo B.K., Ham W.C. (2000), Adaptive control of robot manipulator using fuzzy compensator, IEEE Transactions on Fuzzy Systems, 8(2), 186–199.
- 29. Yu C., Xiang X., Lapierre L., Zhang Q. (2017), Nonlinear guidance and fuzzy control for three-dimensional path following of an underactuated autonomous underwater vehicle, Ocean Engineering, 146(1), 457–467.
- 30. Zakeri E., Moezi S.A., Eghtesad M. (2019), Optimal interval type-2 fuzzy fractional order super twisting algorithm: A second order sliding mode controller for fully-actuated and under-actuated nonlinear systems, ISA Transactions, 85(1), 13–32.
Language: English
Page range: 166 - 172
Submitted on: Apr 24, 2019
Accepted on: Sep 24, 2019
Published on: Nov 5, 2019
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
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© 2019 Mohammad Javad Mahmoodabadi, Amineh Yazdizadeh Baghini, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.