Trajectory tracking control and robustness analysis of a robotic manipulator using advanced control techniques
Автор: Reham H. Mohammed, Basem E. Elnaghi, Fahmy A. Bendary, Kamel Elserfi
Журнал: International Journal of Engineering and Manufacturing @ijem
Статья в выпуске: 6 vol.8, 2018 года.
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The main focuses are to design controlling systems of good disturbance, stability rejection, and small error-tracking. Trajectory tracking of robot manipulators are controlled by several methodologies, but when robot manipulator works with uncertain dynamic models, some limitations of this technique appear. Concerning the control perspective, such uncertainty can be divided into two groups: the unstructured inputs (e.g. disturbance effect) and the structure dynamics (e.g. the changes of parameter). Within a small number of applications, some environments, could be unknown or unstructured, make use of robot manipulators, along with some tools of strong mechanics also can make use of new methods of control to design a controller of nonlinear robust with a reasonable performance. So in this paper we test the effect of disturbance in control the first DOF of PUMA 560 using non model based FO-Fuzzy-PID controller and compared its results with two model based controllers (CTC, ANN). Also we study the effect of change of inertias parameters in the 2 cases Model based control and non- Model based control and then discus which controller give the best results. The main objective of this paper is that the non model based FO-Fuzzy-PID is able to emulate the manipulator dynamic behaviour without the need to have a complex nonlinear mathematical model for the robot.
PUMA560, Quintic polynomial trajectories planning, Computed Torque Control (CTC), Artificial Neural Network (ANN), Fractional Order-Fuzzy-PID (FO-Fuzzy-PID), Fractional Order PID (FOPID)
Короткий адрес: https://sciup.org/15015866
IDR: 15015866 | DOI: 10.5815/ijem.2018.06.04
Список литературы Trajectory tracking control and robustness analysis of a robotic manipulator using advanced control techniques
- Ch. R. Kumar, K. R. Sudha, D. V. Pushpalatha and Ch. V. N. Raja , "Fuzzy C-Means Controller for a PUMA-560 Robot Manipulator", IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions, IIT Kanpur, India, July 2013, pp. 57-62.
- Spong, Mark W. "Vidyasagar, Robot Dynamics and Control." John and Wiley and Sons, 1989.
- Green, A., and Sasiadek, J.Z., "Dynamics and trajectory tracking control of a two-link robot manipulator", J. Vibr. Control10, Vol.10, 2004, PP.1415–1440.
- F. Piltan, S. Emamzadeh, Z. Hivand, F. Shahriyari and M. Mirzaei," PUMA-560 Robot Manipulator Position Sliding Mode Control Methods Using Matlap / Simulink and Their Integration into Graduate/Undergraduate Nonlinear Control, Robotics and MATLAB Courses", International Journal of Robotic and Automation, Volume (6) : Issue (3) , 2012, pp.167-191.
- Mahmoud M. Al Ashi, H. Elaydi and I. Abu Hadrous,"Trajectory Tracking Control of A 2-DOF Robot Arm Using Neural Networks", MS.c, Islamic University of Gaza, Electrical Engineering Department, Feb. 2014.
- K. A. EL Serafi, K. Z. Moustafa, and A. A. Sallam “An Adaptive Neuro Controller for Robotic Manipulator”, IEEE Int. Conf. on Electronics, Circuits, and Systems, Cairo, December 15-18, 1997.
- H. Delavari, R. Ghaderi, A. Ranjbar N., S.H. HosseinNia and S. Momani, "Adaptive Fractional PID Controller for Robot Manipulator", The 4th IFAC Workshop Fractional Differentiation and its Applications. Badajoz, Spain, October 18-20, 2010, pp. 1-7.
- S. E. Hamamci, “An algorithm for stabilization of fractional-order time delay systems using fractional-order PID controllers,” IEEE Trans. Autom. Control, vol. 52, no. 10, Oct. 2007, pp. 1964–1969.
- M. Ö. Efe, “Neural network assisted computationally simple PIλDμ control of a quadrotor UAV”, IEEE Trans. Ind. Informat., vol. 7, no. 2, May 2011, pp. 354–361.
- J. Han, “From PID to active disturbance rejection control,” IEEE Trans. Ind. Electron., vol. 56, no. 3, Mar. 2009, pp. 900–906.
- Podlubny, “Fractional-order systems and PIλDμ controller,” IEEE Trans. Automatic Control, vol. 44, no. 1, pp. 208–214, 1999.
- J. J. D'Azzo, C. H. Houpis and S. N. Sheldon, "Linear control system analysis and design with MATLAB", CRC, 2003. , Z. Alassar, H. Elaydi and I. Abuhadrous "Modeling and Control of 5DOF Robot Arm Using Supervisory Control", MS.c, Islamic University of Gaza, Electrical Engineering Department, March 2010.
- P.I. Corke and B. Armstrong-Helouvry, “A search for consensus among model parameters reported for the PUMA 560 robot,” Proceedings of the 1994 IEEE International Conference on Robotics and Automation, Vol. 2, 1994, pp. 1608-1613.
- Siciliano, Bruno, and Oussama Khatib, Springer handbook of robotics: Springer Science & Business Media, 2008.
- Chedmail P., Gautier M. "Optimum choice of robot actuators", Trans, of ASME, J. of Engineering for Industry, Vol. 112 , No. 4, 1990, p. 361-367.
- Spong, Mark W., and Mathukumalli Vidyasagar. Robot dynamics and control. John Wiley & Sons, 2008.
- Bachir, Ouamri, and Ahmed-Foitih Zoubir. "Adaptive neuro-fuzzy inference system based control of PUMA 600 robot manipulator." International Journal of Electrical and Computer Engineering 2.1 (2012): 90-97.
- D. Xue and Y. Chen, “A Comparative Introduction of Four Fractional Order Controllers,” in Proceedings of the 4th World Congress on Intelligent Control and Automation, 2002, pp. 3228–3235.
- Faieghi, Mohammad Reza, and Abbas Nemati. On Fractional-Order PID Design. INTECH Open Access Publisher, 2011.
- Reham H. Mohammed, Fahmy Bendary and Kamel Elserafi. “Trajectory Tracking Control for Robot Manipulator using Fractional Order-Fuzzy-PID Controller”, International Journal of Computer Applications (0975 – 8887), Vol. 134, No.15, January 2016, pp.22-29.
