Development of an Advanced Fuzzy Active Steering Controller and a Novel Method to Tune the Fuzzy Controller
| dc.contributor.author | Jalali, Kiumars | |
| dc.contributor.author | Uchida, Thomas | |
| dc.contributor.author | McPhee, John | |
| dc.contributor.author | Lambert, Steve | |
| dc.date.accessioned | 2017-03-16T18:53:06Z | |
| dc.date.available | 2017-03-16T18:53:06Z | |
| dc.date.issued | 2013-04-08 | |
| dc.description | Replicated with permission by SAE Copyright © 2017 SAE International. Further distribution of this material is not permitted without prior permission from SAE. | en |
| dc.description.abstract | A two-passenger, all-wheel-drive urban electric vehicle (AUTO21EV) with four direct-drive in-wheel motors has been designed and developed at the University of Waterloo. An advanced genetic-fuzzy active steering controller is developed based on this vehicle platform. The rule base of the fuzzy controller is developed from expert knowledge, and a multi-criteria genetic algorithm is used to optimize the parameters of the fuzzy active steering controller. To evaluate the performance of this controller, a computational model of the AUTO21EV is driven through several standard test maneuvers using an advanced path-following driver model. As the final step in the evaluation process, the genetic-fuzzy active steering controller is implemented in a hardware- and operator-in-the-loop driving simulator to confirm its performance and effectiveness. | en |
| dc.description.sponsorship | Funding for this work was provided by the Natural Sciences and Engineering Research Council of Canada and agrant from AUTO21, a Canadian Network of Centres of Excellence | en |
| dc.identifier.uri | http://dx.doi.org/10.4271/2013-01-0688 | |
| dc.identifier.uri | http://hdl.handle.net/10012/11524 | |
| dc.language.iso | en | en |
| dc.publisher | SAE International | en |
| dc.title | Development of an Advanced Fuzzy Active Steering Controller and a Novel Method to Tune the Fuzzy Controller | en |
| dc.type | Article | en |
| dcterms.bibliographicCitation | Jalali, K., Uchida, T., Lambert, S., & McPhee, J. (2013). Development of an Advanced Torque Vectoring Control System for an Electric Vehicle with In-Wheel Motors using Soft Computing Techniques. SAE International Journal of Alternative Powertrains, 2(2), 261–278. https://doi.org/10.4271/2013-01-0698 | en |
| uws.contributor.affiliation1 | Faculty of Engineering | en |
| uws.contributor.affiliation2 | Systems Design Engineering | en |
| uws.peerReviewStatus | Reviewed | en |
| uws.scholarLevel | Faculty | en |
| uws.typeOfResource | Text | en |