The Improved Algorithm to Preview Follower Control Applied Research on Intelligent Electric Vehicle

Abstract:

This paper presents an improved preview follower, electric vehicle intelligent driver model of steering control strategy. And from the preview following the model proposed steering control method, and the preview follower algorithm, propose a new preview search algorithm, in order to ensure the preview points fall within the expected path, avoid the path curvature caused by excessive electric cars from the path. In addition, by considering the steady state response, to improve the precision of steering control strategy. Use of the multi domain modeling software Dipolar, combined with the electric vehicle dynamic model, the path model of the steering control strategy simulation. The simulation results show that the strategy is applied to electric vehicle path goal good tracking accuracy.

• Periodical: Advanced Materials Research (Volumes 1079-1080)
• Pages: 1022-1025
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1079-1080.1022
• Online since: December 2014
• Authors: Sheng Rui Liu*
• Keywords: Electric Vehicle (EV), Improved Algorithm, Intelligent Steering Control, Preview Follower Model

References

[1] MacadamC. Understanding and Modeling the Hu-man Driver[J]. Vehicle System Dynamics, 2013, 40(2): 101-134.

[2] GaoZhenhai, GuanXin, GuoKonghui. Application. of Preview Follower Theory and Driver Model in the Research of Vehicle Intelligent Handling[J] Jour-nal of Traffic and Transportation Engineering2012, 2(2): 63-66.

[3] DingHaitao, GuoKonghui, LiFei, etal. Arbitrary. Path and Speed Following Driver Model Based on Vehicle Acceleration Feed back[J]. Journalof Me-chanicalEngineering, 2012, 46(10): 116-120, 125.

[4] Shenhuan, LingRui, LiShunming. Steering Control on Large Curvature Road Based on Preview opimal Curvature Model[J]. China Mechanical Engneering, 2012, 23(17): 2111-2116.

[5] DengTao, SunDongye, HuFengbin, etal. Direction. and Speed Integrated Control Driver Model Optimized by Genetic Algorithms[J]. Journal of Chongqing University, 2012, 34(9): 1-8.