Abstract
This paper proposes the optimal state-feedback controller design for the tractor active suspension system via the Lévy-flight intensified current search (LFICuS) algorithm. As one of the newest and most efficient metaheuristic optimization search techniques, the LFICuS algorithm is formed from the behavior of the electrical current in the electric networks associated with the random drawn from the Lévy-flight distribution, the adaptive radius (AR) mechanism and the adaptive neighborhood (AN) mechanism. In this paper, the LFICuS algorithm is applied to optimally design the state-feedback controller for the tractor active suspension system to eliminate the transmitted vibrations to the driver’s cabin caused by road roughness. Results obtained by the LFICuS algorithm will be compared with those obtained by the conventional pole-placement method. As results, the LFICuS algorithm can successfully provide the optimal state-feedback controller for the tractor active suspension system. The tractor active suspension system controlled by the state-feedback controller designed by the LFICuS algorithm yields very satisfactory response with smaller oscillation and faster regulating time than that designed by the pole-placement method, significantly.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
National Statistical Office Homepage. http://www.nso.go.th
Deprez, K., Moshou, D., Anthonnis, J., De Baerdemaeker, J., Ramon, H.: Improvement of vibrational comfort on agricultural vehicles by passive and semiactive cabin suspensions. Comput. Electron. Agric. 49, 431–440 (2005)
Muzammil, M., Siddiqui, S.S., Hasan, F.: Physiological effect of vibrations on tractor drivers under variable ploughing conditions. J. Occup. Health 46, 403–409 (2004)
Scarlett, A.J., Price, J.S., Stayner, R.M.: Whole-body vibration: evaluation of emission and exposure levels arising from agricultural tractors. J. Terrramech. 44, 65–73 (2007)
Hrovat, D.: Survey of advanced suspension developments and related optimal control applications. Automatica 33(10), 1781–1817 (1997)
Zhen, L., Cheng, L., Dewen, H.: Active suspension control design using a combination of LQR and backstepping. In: 25th IEEE Chinese Control Conference, pp. 123–125. Harbin, Heilongjiang, China (2006)
Yousefi, A., Akbari, A., Lohmann, B.: Low order robust controllers for active vehicle suspensions. In: The IEEE International Conference on Control Applications, pp. 693–698, Munich, Germany (2006)
Chamseddine, A., Noura, H., Raharijaona, T.: Control of linear full vehicle active suspension system using sliding mode techniques. In: The IEEE International Conference on Control Applications, pp. 1306–1311. Munich, Germany (2006)
Shamshiri, R., Ismail, W.I.W.: Design and analysis of full-state feedback controller for a tractor active suspension: implications for crop yield. Int. J. Agric. Biol. 15, 909–914 (2013)
Zakian, V.: Control Systems Design: A New Framework. Springer-Verlag (2005)
Romsai, W., Leeart, P., Nawikavatan, A.: Lévy-flight intensified current search for multimodal function minimization. In: The 2020 International Conference on Intelligent Computing and Optimization (ICO’2020), pp. 597–606. Hua Hin, Thailand (2020)
Romsai, W., Nawikavatan, N., Puangdownreong, D.: Application of Lévy-flight intensified current search to optimal PID controller design for active suspension system. Int. J. Innov. Comput. Inf. Control 17(2), 483–497 (2021)
Leeart, P., Romsai, W., Nawikavatan, A.: PID controller design for BLDC motor speed control system by Lévy-flight intensified current search. In: The 2020 International Conference on Intelligent Computing and Optimization (ICO’2020), pp. 1176–1185. Hua Hin, Thailand (2020)
Romsai, W., Lurang, K., Nawikavatan, A., Puangdownreong, D.: Optimal PID controller design for antenna azimuth position control system by Lévy-flight intensified current search algorithm. In: The 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2021), pp. 858–861. Chiang Mai, Thailand (2021)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Niyomsat, T., Romsai, W., Nawikavatan, A., Puangdownreong, D. (2022). Optimal State-Feedback Controller Design for Tractor Active Suspension System via Lévy-Flight Intensified Current Search Algorithm. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing & Optimization. ICO 2021. Lecture Notes in Networks and Systems, vol 371. Springer, Cham. https://doi.org/10.1007/978-3-030-93247-3_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-93247-3_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-93246-6
Online ISBN: 978-3-030-93247-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)