CAJ | 학술논문

提出一种基于改进的预瞄跟随驾驶员模型的电动汽车智能转向控制策略。借鉴驾驶员预瞄跟随模型提出转向控制方法，并对预瞄跟随算法进行改进，提出一种新的预瞄点搜索算法，确保预瞄点落在预期路径上，避免由于路径转弯曲率过大导致电动汽车脱离路径。结合考虑稳态响应的影响，提高转向控制策略精度。利用多领域建模软件Dymola ，结合电动汽车动力模型、路径模型，对该转向控制策略进行仿真。仿真结果表明应用该策略的电动汽车具有良好的路径目标跟随精度。
제출일충기우개진적예묘근수가사원모형적전동기차지능전향공제책략。차감가사원예묘근수모형제출전향공제방법，병대예묘근수산법진행개진，제출일충신적예묘점수색산법，학보예묘점락재예기로경상，피면유우로경전만곡솔과대도치전동기차탈리로경。결합고필은태향응적영향，제고전향공제책략정도。이용다영역건모연건Dymola ，결합전동기차동력모형、로경모형，대해전향공제책략진행방진。방진결과표명응용해책략적전동기차구유량호적로경목표근수정도。
An intelligent steering control strategy of EV was described based on an improved pre-view following algorithm driver model .A new preview-point searching algorithm was proposed to en-sure that the preview-point fell on the expected track and availed on the large curvature road .The steering control strategies considered the impact of the steady-state response to improve the dynamics performance of the EV .Combined with power model and track model of EV ,the steering control strat-egy was stimulated by Dymola that is a multi-domain modeling and simulating software .The results indicate that the EV with application of the strategy performs a high level of accuracy on the target tracking following .