Optimal Preview Position Control for Automotive Electronic Throttle

Zhang, B; Chen, Z; Tian, Y; Zhang, N; Wang, M

Optimal Preview Position Control for Automotive Electronic Throttle

Zhang, B Chen, Z Tian, Y Zhang, N

Wang, M

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Publication Type:: Journal Article
Citation:: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2017, 48 (4), pp. 349 - 354
Issue Date:: 2017-04-25

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Field	Value	Language
dc.contributor.author	Zhang, B	en_US
dc.contributor.author	Chen, Z	en_US
dc.contributor.author	Tian, Y	en_US
dc.contributor.author	Zhang, N https://orcid.org/0000-0001-6408-0044	en_US
dc.contributor.author	Wang, M	en_US
dc.date.issued	2017-04-25	en_US
dc.identifier.citation	Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2017, 48 (4), pp. 349 - 354	en_US
dc.identifier.issn	1000-1298	en_US
dc.identifier.uri	http://hdl.handle.net/10453/124543
dc.description.abstract	© 2017, Chinese Society of Agricultural Machinery. All right reserved. Based on the theories of linear quadratic regulator (LQR) control and linear matrix inequality (LMI), a scheme of discrete-time optimal preview position control algorithm for automotive electronic throttle control (ETC) system was proposed. The presented throttle valve position tracking control algorithm consisted of the state-feedback control, discrete integrator, and preview feed-forward control. The closed-loop controller was realized by only utilizing a low-cost sliding potentiometer which was used to measure the angle position of the throttle valve. To track the position of automotive electronic throttle valve, the discrete-time state space model was firstly established for the automotive ETC system. Then, the augmented error system which contained future position reference information was built by using the state transformation method instead of the traditional difference method, which helped to simplify the structure of the augmented error system. In simulations, the physical parameters uncertainty and external disturbance torque of the real automotive electronic throttle control system were also considered, and the simulation results were verified by bench tests for throttle through utilization of the rapid control prototyping (RCP) technology. Both simulation and test results demonstrated that the proposed discrete-time optimal preview position control algorithm was able to effectively improve the transient performance and robustness of the ETC system while guaranteeing the tracking accuracy. Hence, the application of the presented control scheme on the ETC system can further improve the fuel economy, dynamic and exhaust performance of gasoline engine.	en_US
dc.relation.ispartof	Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery	en_US
dc.relation.isbasedon	10.6041/j.issn.1000-1298.2017.04.046	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Mechanical Engineering & Transports	en_US
dc.title	Optimal Preview Position Control for Automotive Electronic Throttle	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	48	en_US
utslib.for	0902 Automotive Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access	*
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	48	en_US

Abstract:

© 2017, Chinese Society of Agricultural Machinery. All right reserved. Based on the theories of linear quadratic regulator (LQR) control and linear matrix inequality (LMI), a scheme of discrete-time optimal preview position control algorithm for automotive electronic throttle control (ETC) system was proposed. The presented throttle valve position tracking control algorithm consisted of the state-feedback control, discrete integrator, and preview feed-forward control. The closed-loop controller was realized by only utilizing a low-cost sliding potentiometer which was used to measure the angle position of the throttle valve. To track the position of automotive electronic throttle valve, the discrete-time state space model was firstly established for the automotive ETC system. Then, the augmented error system which contained future position reference information was built by using the state transformation method instead of the traditional difference method, which helped to simplify the structure of the augmented error system. In simulations, the physical parameters uncertainty and external disturbance torque of the real automotive electronic throttle control system were also considered, and the simulation results were verified by bench tests for throttle through utilization of the rapid control prototyping (RCP) technology. Both simulation and test results demonstrated that the proposed discrete-time optimal preview position control algorithm was able to effectively improve the transient performance and robustness of the ETC system while guaranteeing the tracking accuracy. Hence, the application of the presented control scheme on the ETC system can further improve the fuel economy, dynamic and exhaust performance of gasoline engine.

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http://hdl.handle.net/10453/124543