Abstract
Electric Power-Assisted Steering system (EPAS) is a new power steering technology for vehicles especially for Electric Vehicles (EV). It has been applied to displace conventional Hydraulic Power-Assisted Steering system (HPAS) due to space efficiency, environmental compatibility, and engine performance. An EPAS system is a driver-assisting feedback system designed to boost the driver input torque to the desired output torque causing the steering action to be undertaken at much lower steering efforts. In this chapter, the Particle Swarm Optimization (PSO) algorithm is implemented as a tuning mechanism for Fractional-Order PID (FOPID) controller. The aim of this controller is to track the assisted current generated by the lookup table. The results show the performance and efficiency of using the PSO algorithm for FOPID tuning.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Burton, A.W.: Innovation drivers for electric power-assisted steering. Control Syst. IEEE 23(6), 30–39 (2003)
Chen, X., Chen, X., Zhou, K.: Optimal control of electric power-assisted steering system. In: Proceedings of 2005 IEEE Conference on Control Applications. CCA 2005. IEEE (2005)
Chun-Hua, H.: Modeling and simulation of automotive electric power steering system. In: Second International Symposium on Intelligent Information Technology Application, IITA’08. IEEE (2008)
Shriwastava, R., Diagavane, M.: Electric power steering with Permanent magnet synchronous motor drive used in automotive application. In: 2011 1st International Conference on Electrical Energy Systems (ICEES). IEEE (2011)
Chen, X., Li, K.: Robust control of electric power-assisted steering system. In: IEEE Conference on Vehicle Power and Propulsion. IEEE (2005)
Qun, Z., Juhua, H.: Modeling and simulation of the electric power steering system. In: Pacific-Asia Conference on Circuits, Communications and Systems, PACCS’09. IEEE (2009)
Parmar, M., Hung, J.Y.: A sensorless optimal control system for an automotive electric power assist steering system. IEEE Trans. Indus. Electron. 51(2), 290–298 (2004)
Marouf, A. et al.: Control of electric power assisted steering system using sliding mode control. In: 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC). IEEE (2011)
Marouf, A., et al.: A new control strategy of an electric-power-assisted steering system. IEEE Trans. Vehicul. Technol. 61(8), 3574–3589 (2012)
Yan, Z., Fei, L.: Research on dynamic behavior of EPS based on frequency response and step response. In: 2010 5th International Conference on Computer Science & Education (2010)
Zhang, H. et al.: Modeling and characteristic curves of electric power steering system. In: International Conference on Power Electronics and Drive Systems, PEDS 2009. IEEE (2009)
Hassan, M., et al.: Optimal design of electric power assisted steering system (EPAS) using GA-PID method. Procedia Engineering 41, 614–621 (2012)
Dzielinski, A, Sierociuk, D.: Simulation and experimental tools for fractional order control education. In: Proceedings of IFAC (2008)
Padhee, S., et al.: A novel evolutionary tuning method for fractional order PID controller. Int. J. Soft Comput. Eng. (IJSCE) 1(3), 1–9 (2011)
Shi, Y., Eberhart, R.: A modified particle swarm optimizer. In: The 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence. IEEE (1998)
Dastranj, M.R., Rouhani, M., Hajipoor, A.: Design of optimal fractional order PID controller using PSO algorithm. Int. J. Comput. Theory Eng. 4(3) (2012)
Gaing, Z.-L.: A particle swarm optimization approach for optimum design of PID controller in AVR system. IEEE Trans. Energy Convers. 19(2), 384–391 (2004)
Hassanzadeh, I., Mobayen, S.: Optimum design of PID controller for 5-bar-linkage manipulator using particle swarm optimization. In: Proceeding of the 4th t International Symposium on Mechatronics and its Applications (ISMA07), Sharjah, UAE (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Hassan, M.K., Amiri, A., Marhaban, H., Juraiza, A. (2022). Optimal Tuning of Fractional-Order PID Controller for Electric Power-Assisted Steering (EPAS) System Using Particle Swarm Optimization (PSO). In: Mariappan, M., Arshad, M.R., Akmeliawati, R., Chong, C.S. (eds) Control Engineering in Robotics and Industrial Automation. Studies in Systems, Decision and Control, vol 371. Springer, Cham. https://doi.org/10.1007/978-3-030-74540-0_6
Download citation
DOI: https://doi.org/10.1007/978-3-030-74540-0_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-74539-4
Online ISBN: 978-3-030-74540-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)