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

Zhengchao Xie | Zendy; Pak Kin Wong | Zendy; Yueqiao Chen | Zendy; Ka In Wong | Zendy

Open Access

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

Author(s) -

Zhengchao Xie,

Pak Kin Wong,

Yueqiao Chen,

Ka In Wong

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/987137

Subject(s) - continuously variable transmission , slip ratio , pulley , control theory (sociology) , slip (aerodynamics) , engineering , fuzzy logic , controller (irrigation) , automotive engineering , torque , gear ratio , rotational speed , transmission (telecommunications) , computer science , structural engineering , control (management) , mechanical engineering , agronomy , physics , brake , artificial intelligence , aerospace engineering , electrical engineering , biology , thermodynamics

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

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