Journal article
Continuous fast nonsingular terminal sliding mode control of automotive electronic throttle systems using finite-time exact observer
IEEE Transactions on Industrial Electronics, Vol.65(9), pp.7160-7172
2018
Abstract
The control of automobile electronic throttle (AET) systems is a challenging task owing to multiple nonlinearities, i.e., transmission friction, gear backlash, limp-home spring set, and external load disturbance. In this paper, a practical tracking control scheme of an AET system is developed using a continuous fast nonsingular terminal sliding mode (CFNTSM) technique based on uncertainty observer. By using the prescribed CFNTSM surface and fast terminal sliding mode-based reaching element, the proposed control implementation guarantees the fast error convergence characteristic and high tracking accuracy under parameter uncertainties and perturbations. Furthermore, due to the adoption of the finite-time exact observer (FEO) for the lumped uncertainty estimation in the controller, the ease of the selection of the control gains is well-achieved since they only depend on the uncertainty estimation error. The closed-loop stability and finite-time convergence are presented based on the Lyapunov stability theory. Experimental verifications are conducted to validate the remarkable performance of the proposed control, in terms of the step and sinusoidal tracking as well as anti-disturbance ability.
Details
- Title
- Continuous fast nonsingular terminal sliding mode control of automotive electronic throttle systems using finite-time exact observer
- Authors/Creators
- H. Wang (Author/Creator) - Hefei University of TechnologyL. Shi (Author/Creator) - Hefei University of TechnologyZ. Man (Author/Creator) - Swinburne University of TechnologyJ. Zheng (Author/Creator) - Swinburne University of TechnologyS. Li (Author/Creator) - Southeast UniversityM. Yu (Author/Creator) - Hefei University of TechnologyC. Jiang (Author/Creator) - Hefei University of TechnologyH. Kong (Author/Creator) - Hefei University of TechnologyZ. Cao (Author/Creator) - Swinburne University of Technology
- Publication Details
- IEEE Transactions on Industrial Electronics, Vol.65(9), pp.7160-7172
- Publisher
- IEEE
- Identifiers
- 991005542357307891
- Copyright
- © 2018 IEEE
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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- Domestic collaboration
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- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.29 Automation & Control Systems
- 4.29.104 Adaptive Control
- Web Of Science research areas
- Automation & Control Systems
- Engineering, Electrical & Electronic
- Instruments & Instrumentation
- ESI research areas
- Engineering