International Journal of Nonlinear Analysis and Applications
Enhancement of Electro Hydraulic Position Servo Control System Utilising Ant Lion Optimiser
Document Type : Research Paper
Authors
Department of Computer Techniques Engineering, Al-esraa University College, Baghdad, Iraq
Abstract
In this article, ant lion optimiser algorithm is proposed for resolve the working of the electro-hydraulic position servo control scheme on controlling in the general position when compared with local position like the mechanism of work that inspired from particle swarm optimization algorithm in additional to that servo valve contributed by ant lion optimizer algorithm that enhanced and improved the hydraulic cylinder working by using the conventional proportional integral derivative (PID) controller in utilize the optimized algorithm that works as attractive solution added as artificial intelligent algorithm to enhanced the proposed system to achieve best performance for the PID controller and the results analysis achieved for maximum overshooting, rising time, settling time 0 %, 0.020 (sec), 0.0115 (sec) respectively and this work is implemented using MATLAB Simulink.
Keywords
Within Fractional Order PID Utilizing Particle Swarm Optimization Algorithm, IEEE Conference on Power
Electronics and Renewable Energy (CPERE), 2019, pp. 135–139.
[2] P. Begon, F. Pierrot, and P. Dauchez, Fuzzy sliding mode control of a fast parallel robot, in Proceedings of 1995
IEEE International Conference on Robotics and Automation, 1 (1995) 1178–1183.
[3] Y. Fan, J. Shao, and G. Sun, Optimized pid controller based on beetle antennae search algorithm for electrohydraulic position servo control system, Sensors (Switzerland), 19 (2019) 1–21.[4] B. A. Forouzan and S. C. Fegan, TCP/IP protocol suite, McGraw-Hill Higher Education, 2010.
[5] F. Ghorbel and R. Gunawardana, A validation study of PD control of a closed-chain mechanical system, in
Proceedings of the 36th IEEE Conference on Decision and Control, 2 (1997) 1998–2004.
[6] F. H. Ghorbel, O. Chételat, R. Gunawardana, and R. Longchamp, Modeling and set point control of closed-chain
mechanisms: Theory and experiment, IEEE Trans. Control Syst. Technol., 8 (2000) 801–815.
[7] F. H. Ghorbel, O. Chételat, R. Gunawardana, and R. Longchamp, Modeling and set point control of closed-chain
mechanisms: Theory and experiment, IEEE Trans. Control Syst. Technol., 8 (2000) 801–815.
[8] F. Ghorbel and R. Gunawardana, A validation study of PD control of a closed-chain mechanical system, in
Proceedings of the 36th IEEE Conference on Decision and Control, 2 (1997) 1998–2004.
[9] N. Lachhab, F. Svaricek, F. Wobbe, and H. Rabba, Fractional order PID controller (FOPID)-toolbox, in 2013
European control conference (ECC), (2013) 3694–3699.
[10] S.-H. Lee, J.-B. Song, W.-C. Choi, and D. Hong, Controller design for a Stewart platform using small workspace
characteristics,” in Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems,
Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No. 01CH37180), 4 (2001) 2184–2189.
[11] S.-H. Lee, J.-B. Song, W.-C. Choi and D. Hong, Position control of a Stewart platform using inverse dynamics
control with approximate dynamics, Mechatronics, 13 (2003) 605–619.
[12] N. B. Maan Moutaz, Enhance of the Steering Control System for Electric Golf Cart Using MATLAB with FOPID,
Int. J. Adv. Trends Comput. Sci. Eng., 9 (2020) 4575–4579.
[13] N. B. Mohamadwasel, Rider Optimization Algorithm implementedon the AVR Control System using MATLAB
with FOPID.
[14] N. B. Mohamadwasel and M. A. Abdala, Design of WiMAX Network for Istanbul Universities With OPNET,
Inform. J. Appl. Mach. Electr. Electron. Comput. Sci. Commun. Syst., 1 (2020) 1–9.
[15] N. B. Mohamadwasel and O. Bayat, Improve DC Motor System using Fuzzy Logic Control by Particle Swarm
Optimization in Use Scale Factors, Int. J. Comput. Sci. Mob. Comput., 8 (2019) 152–160.
[16] Y. R. Mohammed, N. Basil, O. Bayat and A. Hamid, A New Novel Optimization Techniques Implemented on the
AVR Control System using MATLAB-SIMULINK, Int. J. Adv. Sci. Technol., 29, (2020) 4515–4521.
[17] P. R. Ouyang, W.-J. Zhang, and F.-X. Wu, Nonlinear PD control for trajectory tracking with consideration of the
design for control methodology, in Proceedings 2002 IEEE International Conference on Robotics and Automation
(Cat. No. 02CH37292), 4 (2002) 4126–4131.
[18] C. Sandra, A. N. Amudhan, A. T. Mathew, and A. P. Sudheer, Trajectory Tracking of Omni Directional robot
using Fuzzy Controller with Visual Feedback, International Conference for Emerging Technology (INCET), 2020,
pp. 1–6.
[19] F. X. Wu, W. J. Zhang, Q. Li, and P. R. Ouyang, Integrated design and PD control of high-speed closed-loop
mechanisms, J. Dyn. Sys., Meas., Control, 124 (2002) 522–528.
[20] Y. K. Yiu and Z. X. Li, PID and adaptive robust control of a 2-dof over-actuated parallel manipulator for
tracking different trajectory, in Proceedings 2003 IEEE International Symposium on Computational Intelligence
in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium
(Cat. No. 03EX694), 3 (2003) 1052–1057.
)
Volume 12, Issue 2
November 2021Pages 2453-2461
- Receive Date: 26 March 2021
- Revise Date: 02 June 2021
- Accept Date: 19 June 2021