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Intelligent Multiobjective Slip and Speed Ratio Control of a Novel Dual-Belt Continuously Variable Transmission for Automobiles

机译:一种新型双皮带无级变速器的智能多目标滑差速比控制

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Van Doorne’s continuously variable transmission (CVT) is the most popular CVT design for automotive transmission, but it is only applicable to low-power passenger cars because of its low torque capacity. To overcome this limitation of traditional single-belt CVT, a novel dual-belt Van Doorne’s CVT (DBVCVT) system, which is applicable to heavy-duty vehicles, has been previously proposed by the authors. This paper, based on the published analytical model and test rig of DBVCVT, further proposes an intelligent multiobjective fuzzy controller for slip and speed ratio control of DBVCVT. The controller aims to safely control the clamping forces of both the primary and the secondary pulleys in order to improve the transmission efficiency, achieve the accurate speed ratio, and avoid the belt slip under different engine loads and vehicle speeds. The slip, speed ratio, and transmission efficiency dynamics of DBVCVT are firstly analyzed and modeled in this paper. With the aid of a flexible objective function, the analytical model, and fuzzy logic, a Pareto rule base for fuzzy controller is developed for multiobjective DBVCVT control. Experimental results show that the proposed controller for slip and speed ratio regulation of DBVCVT is effective and performs well under different user-defined weights.
机译:Van Doorne的无级变速箱(CVT)是最流行的汽车变速箱CVT设计,但由于其低扭矩容量,因此仅适用于低功率乘用车。为了克服传统单皮带无级变速器的这一局限性,作者先前曾提出一种适用于重型车辆的新型双皮带Van Doorne的CVT(DBVCVT)​​系统。本文基于已发布的DBVCVT的分析模型和试验平台,进一步提出了一种用于DBVCVT滑差和速比控制的智能多目标模糊控制器。该控制器旨在安全地控制第一和第二皮带轮的夹紧力,以提高传动效率,实现准确的速比,并避免在不同的发动机负载和车速下皮带打滑。本文首先对DBVCVT的转差率,速比和传动效率动力学进行了分析和建模。借助灵活的目标函数,分析模型和模糊逻辑,开发了用于多目标DBVCVT控制的模糊控制器的Pareto规则库。实验结果表明,所提出的用于DBVCVT的滑差和速度比调节的控制器是有效的,并且在不同的用户定义权重下性能良好。

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