The Effects of Weightage Values with Two Objective Functions in iPSO for Electro-Hydraulic Actuator System

Authors

  • Chai Mau Shern Centre for Robotics and Industrial Automation, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Rozaimi Ghazali Centre for Robotics and Industrial Automation, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Chong Shin Horng Centre for Robotics and Industrial Automation, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Chong Chee Soon Centre for Robotics and Industrial Automation, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Muhamad Fadli Ghani Malaysian Institute of Marine Engineering Technology (MIMET), Universiti Kuala Lumpur, Lumut, Perak, Malaysia
  • Yahaya Md Sam Control & Mechatronics Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor Bahru, Malaysia
  • Zulfatman Has Electrical Engineering Department, University of Muhammadiyah Malang, 65144 Malang, Indonesia

DOI:

https://doi.org/10.37934/arfmts.81.2.98109

Keywords:

Electro-hydraulic Actuator System, Improved Particle Swarm Optimization, Linear Weight Summation

Abstract

In this paper, the Proportional-Integral-Derivative (PID) controller with improved Particle Swarm Optimization (iPSO) algorithm is proposed for the positioning control of nonlinear Electro-Hydraulic Actuator (EHA) system. PID controller is chosen to control the EHA system due to its popularity in industrial applications. The PID controller parameters will be tuned by using the iPSO algorithm to get the lowest overshoot percentage and steady-state error. The conventional PSO algorithm has only one objective function to get the optimum parameters. However, this is not enough to increase the control performance of the EHA system. Therefore, an improved Particle Swarm Optimization (iPSO) that includes the mean error and overshoot percentage as the two objective functions is proposed in this paper. The most popular method in PSO that included two objective functions is Linear Weight Summation (LWS). In this method, the two objective functions are combined with certain weightage into one equation to give the best control performance. This paper focuses on determining the suitable weightage between these two objective functions so that the EHA system can produce the best control performance with less overshoot and less error. Overshoot percentage and steady-state error are used to indicate the best control performance. The results showed that EHA system can perform better by using suitable weightage between the mean error and overshoot percentage.

References

Ghazali, Rozaimi, Chong Chee Soon, Chong Shin Horng, Chai Mau Shern, Yahaya Md Sam, and Ahmad Anas Yusof. "Controllers Capabilities with Computational Tuning Algorithm in Nonlinear Electro-Hydraulic Actuator System." Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 52, no. 2 (2018): 148-160.

Rehman, Waheed Ur, Shaoping Wang, Xingjian Wang, Lei Fan, and Kamran Ali Shah. "Motion synchronization in a dual redundant HA/EHA system by using a hybrid integrated intelligent control design." Chinese Journal of Aeronautics 29, no. 3 (2016): 789-798. https://doi.org/10.1016/j.cja.2015.12.018

Dong, Meng, Xiting Luan, Baoyuan Wu, and Junlong Liang. "The Fuzzy Control of Electro-hydraulic Servo System Based on DE Algorithm." In Proceedings of 2018 Chinese Intelligent Systems Conference, pp. 747-757. Springer, Singapore, 2019. https://doi.org/10.1007/978-981-13-2291-4_73

Guo, Qinyang, Guanglin Shi, and Dongmei Wang. "Adaptive Composite Fuzzy Dynamic Surface Control for Electro?Hydraulic?System, with Variable?Supply?Pressure." Asian Journal of Control 22, no. 1 (2020): 521-535. https://doi.org/10.1002/asjc.1907

Hoang, Quoc?Dong, Soon?Geul Lee, and Batsaikhan Dugarjav. "Super?twisting observer?based integral sliding mode control for tracking the rapid acceleration of a piston in a hybrid electro?hydraulic and pneumatic system." Asian Journal of Control 21, no. 1 (2019): 483-498. https://doi.org/10.1002/asjc.1971

Pourebrahim, Majid, Ali Selk Ghafari, and Mahshid Pourebrahim. "Designing a LQR controller for an electro-hydraulic-actuated-clutch model." In 2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE), pp. 82-87. IEEE, 2016. https://doi.org/10.1109/CCSSE.2016.7784358

Ahmed, Mazid Ishtique, and A. K. M. Azad. "Mathematical modeling and DLQR based controller design for a non-minimum phase Electro Hydraulic Servo system (EHS)." In 2016 IEEE Region 10 Conference (TENCON), pp. 1839-1844. IEEE, 2016. https://doi.org/10.1109/TENCON.2016.7848339

Shaaban, Sayed, Mohamed Rabie, Magdy Roman, and Mohamed Aly. "Observer-Based Optimal Position Control for Electrohydraulic Steer-by-Wire System Using Gray-Box System Identified Model." ASME, 2017. https://doi.org/10.1115/1.4037164

Adnan, Ramli, Mazidah Tajjudin, Norlela Ishak, Hashimah Ismail, and Mohd Hezri Fazalul Rahiman. "Self-tuning fuzzy PID controller for electro-hydraulic cylinder." In 2011 IEEE 7th International Colloquium on Signal Processing and its Applications, pp. 395-398. IEEE, 2011. https://doi.org/10.1109/CSPA.2011.5759909

Qiankun, Ma, Wang Xuyong, Yuan Fan, Tao Jianfeng, and Liu Peng. "Research on feed-forward PIDD 2 control for hydraulic continuous rotation motor electro-hydraulic servo system with long pipeline." In 2016 UKACC 11th International Conference on Control (CONTROL), pp. 1-6. IEEE, 2016.

Wang, Xiangdong, Dongxu Wang, Shujing Li, and Xue Li. "Design of position balance controller for the sprayer boom." In 2018 3rd International Conference on Mechanical, Control and Computer Engineering (ICMCCE), pp. 304-307. IEEE, 2018. https://doi.org/10.1109/ICMCCE.2018.00069

Essa, Mohamed El-Sayed M., Magdy AS Aboelela, M. A. Moustafa Hassan, and S. M. Abdrabbo. "Model predictive force control of hardware implementation for electro-hydraulic servo system." Transactions of the Institute of Measurement and Control 41, no. 5 (2019): 1435-1446. https://doi.org/10.1177/0142331218784118

Liang, Xuan Wong, and Zool Hilmi Ismail. "System Identification and Model Predictive Control using CVXGEN for Electro-Hydraulic Actuator." International Journal of Integrated Engineering 11, no. 4 (2019). https://doi.org/10.30880/ijie.2019.11.04.018

Liu, Shengfei, Qinglin Sun, Zengqiang Chen, and Fangyou Dong. "Characteristic model-based generalized predictive control for electro-hydraulic system with dead-zones and parameter uncertainty." IFAC-PapersOnLine 51, no. 20 (2018): 287-294. https://doi.org/10.1016/j.ifacol.2018.11.027

Yang, Xuebo, Xiaolong Zheng, and Yuhong Chen. "Position tracking control law for an electro-hydraulic servo system based on backstepping and extended differentiator." IEEE/ASME Transactions on Mechatronics 23, no. 1 (2017): 132-140. https://doi.org/10.1109/TMECH.2017.2746142

Guo, Qing, Jing-min Yin, Tian Yu, and Dan Jiang. "Coupled-disturbance-observer-based position tracking control for a cascade electro-hydraulic system." ISA transactions 68 (2017): 367-380. https://doi.org/10.1016/j.isatra.2017.02.014

Guo, Qing, Ping Sun, Jing-min Yin, Tian Yu, and Dan Jiang. "Parametric adaptive estimation and backstepping control of electro-hydraulic actuator with decayed memory filter." ISA transactions 62 (2016): 202-214. https://doi.org/10.1016/j.isatra.2016.02.009

Lee, Dongyoung, Buchun Song, Sang Yong Park, and Yoon Su Baek. "Development and Control of an Electro-Hydraulic Actuator System for an Exoskeleton Robot." Applied Sciences 9, no. 20 (2019): 4295. https://doi.org/10.3390/app9204295

Cheng, Lei, Zhen-Cai Zhu, Gang Shen, Shujing Wang, Xiang Li, and Yu Tang. "Real-time force tracking control of an electro-hydraulic system using a novel robust adaptive sliding mode controller." IEEE Access 8 (2019): 13315-13328. https://doi.org/10.1109/ACCESS.2019.2895595

Kang, Shuo, Hao Yan, Lijing Dong, and Changchun Li. "Finite-time adaptive sliding mode force control for electro-hydraulic load simulator based on improved GMS friction model." Mechanical Systems and Signal Processing 102 (2018): 117-138. https://doi.org/10.1016/j.ymssp.2017.09.009

Jiangtao, Feng, Gao Qinhe, Guan Wenliang, and Chen Zhixiang. "Adaptive fuzzy sliding mode control for large erection mechanism." In 2017 36th Chinese Control Conference (CCC), pp. 3599-3604. IEEE, 2017.

Tran, Duc Thien, Keunhui Jeong, Giho Jun, Jinho Suh, Maolin Jin, and Kyoung Kwan Ahn. "Adaptive gain back-stepping sliding mode control for electrohydraulic servo system with uncertainties." In 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp. 534-539. IEEE, 2017.

Rozali, Sahazati Md, Nor Syaza Farhana, Muhammad Nizam Kamarudin, Amar Faiz Zainal Abidin, Mohd Fua’ad Rahmat, Abdul Rashid Husain, and Chong Chee Soon. "Robust control design of nonlinear system via Backstepping-PSO with sliding mode techniques." In Asian Simulation Conference, pp. 27-37. Springer, Singapore, 2017. https://doi.org/10.1007/978-981-10-6463-0_3

Sun, Chungeng, Jinhui Fang, Jianhua Wei, and Bo Hu. "Nonlinear motion control of a hydraulic press based on an extended disturbance observer." Ieee Access 6 (2018): 18502-18510. https://doi.org/10.1109/ACCESS.2018.2813317

Jaafar, Hazriq Izzuan, M. F. Sulaima, Z. Mohamed, and J. J. Jamian. "Optimal PID controller parameters for nonlinear gantry crane system via MOPSO technique." In 2013 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (CSUDET), pp. 86-91. IEEE, 2013. https://doi.org/10.1109/CSUDET.2013.6670992

Zhou, Hua, Liming Lao, Yinglong Chen, and Huayong Yang. "Discrete-time sliding mode control with an input filter for an electro-hydraulic actuator." IET Control Theory & Applications 11, no. 9 (2017): 1333-1340. https://doi.org/10.1049/iet-cta.2016.0951

Sharaf, Adel M., and Adel AA El-Gammal. "A novel discrete multi-objective Particle Swarm Optimization (MOPSO) of optimal shunt power filter." In 2009 IEEE/PES Power Systems Conference and Exposition, pp. 1-7. IEEE, 2009. https://doi.org/10.1109/PSCE.2009.4839957

Kalyoncu, Mete, and Mustafa Haydim. "Mathematical modelling and fuzzy logic based position control of an electrohydraulic servosystem with internal leakage." Mechatronics 19, no. 6 (2009): 847-858. https://doi.org/10.1016/j.mechatronics.2009.04.010

Kennedy, James, and Russell Eberhart. "Particle swarm optimization." In Proceedings of ICNN'95-international conference on neural networks, vol. 4, pp. 1942-1948. IEEE, 1995.

Hazra, Jagabondhu, and Avinash K. Sinha. "Congestion management using multiobjective particle swarm optimization." IEEE Transactions on Power Systems 22, no. 4 (2007): 1726-1734. https://doi.org/10.1109/TPWRS.2007.907532

Chamaani, Somayyeh, S. Abdullah Mirtaheri, and Mohammad S. Abrishamian. "Improvement of time and frequency domain performance of antipodal Vivaldi antenna using multi-objective particle swarm optimization." IEEE Transactions on Antennas and Propagation 59, no. 5 (2011): 1738-1742. https://doi.org/10.1109/TAP.2011.2122290

Kitamura, Shoichi, Kazuyuki Mori, Seiichi Shindo, Yoshio Izui, and Yoshihiko Ozaki. "Multiobjective energy management system using modified MOPSO." In 2005 IEEE International Conference on Systems, Man and Cybernetics, vol. 4, pp. 3497-3503. IEEE, 2005.

Jaafar, Hazriq Izzuan, A. R. Abdullah, Z. Mohamed, J. J. Jamian, A. M. Kassim, M. S. M. Aras, M. N. M. Nasir, and M. F. Sulaima. "Analysis of Optimal Performance for Nonlinear Gantry Crane System using MOPSO with Linear Weight Summation Approach." In Proc. Malaysian Tech. Univ. Conf. Eng. Technol, vol. 5, pp. 1-6. 2013.

Kang, Qi, ShuWei Feng, MengChu Zhou, Ahmed Chiheb Ammari, and Khaled Sedraoui. "Optimal load scheduling of plug-in hybrid electric vehicles via weight-aggregation multi-objective evolutionary algorithms." IEEE Transactions on Intelligent Transportation Systems 18, no. 9 (2017): 2557-2568.

Elgammal, Adel Abdelaziz Abdelghany, and Mohammed Fathy El_Naggar. "MOPSO-based predictive control strategy for efficient operation of sensorless vector-controlled fuel cell electric vehicle induction motor drives." Turkish Journal of Electrical Engineering & Computer Sciences 25, no. 4 (2017): 2968-2985. https://doi.org/10.3906/elk-1608-115

Mac, Thi Thoa, Cosmin Copot, Robin De Keyser, and Clara M. Ionescu. "The development of an autonomous navigation system with optimal control of an UAV in partly unknown indoor environment." Mechatronics 49 (2018): 187-196. https://doi.org/10.1016/j.mechatronics.2017.11.014

Laware, A. R., D. B. Talange, and V. S. Bandal. "Evolutionary optimization of sliding mode controller for level control system." ISA transactions 83 (2018): 199-213. https://doi.org/10.1016/j.isatra.2018.08.011

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Published

2021-03-26

How to Cite

Shern, C. M. ., Ghazali, R., Horng, C. S. ., Soon, C. C. ., Ghani, M. F. ., Md Sam, Y. ., & Has, Z. . (2021). The Effects of Weightage Values with Two Objective Functions in iPSO for Electro-Hydraulic Actuator System. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 81(2), 98–109. https://doi.org/10.37934/arfmts.81.2.98109

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