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Information Journal Paper

Title

IMPLEMENTATION OF AN OPTIMAL CONTROL STRATEGY FOR A HYDRAULIC HYBRID VEHICLE USING CMAC AND RBF NETWORKS (RESEARCH NOTE)

Pages

  327-334

Keywords

RADIAL BASIS FUNCTION (RBF) NETWORK 
CEREBELLAR MODEL ARTICULATION CONTROLLER (CMAC) 

Abstract

 A control strategy on a hybrid vehicle can be implemented through different methods. In this paper, the Cerebellar Model Articulation Controller (CMAC) and Radial Basis Function (RBF) neural networks were applied to develop an OPTIMAL CONTROL STRATEGY for a split parallel HYDRAULIC HYBRID VEHICLE. These networks contain a nonlinear mapping, and, also, the fast learning procedure has made them desirable for online control. The RBF network was constructed with the use of the K-mean clustering method, and the CMAC network was investigated for different association factors. Results show that the binary CMAC has better performance over the RBF network. Also, the hybridization of the vehicle results in considerable reduction in fuel consumption.

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    APA: Copy

    TAGHAVIPOUR, A., FOUMANI, M.S., & BOROUSHAKI, M.. (2012). IMPLEMENTATION OF AN OPTIMAL CONTROL STRATEGY FOR A HYDRAULIC HYBRID VEHICLE USING CMAC AND RBF NETWORKS (RESEARCH NOTE). SCIENTIA IRANICA, 19(2 (TRANSACTIONS B: MECHANICAL ENGINEERING)), 327-334. SID. https://sid.ir/paper/290140/en

    Vancouver: Copy

    TAGHAVIPOUR A., FOUMANI M.S., BOROUSHAKI M.. IMPLEMENTATION OF AN OPTIMAL CONTROL STRATEGY FOR A HYDRAULIC HYBRID VEHICLE USING CMAC AND RBF NETWORKS (RESEARCH NOTE). SCIENTIA IRANICA[Internet]. 2012;19(2 (TRANSACTIONS B: MECHANICAL ENGINEERING)):327-334. Available from: https://sid.ir/paper/290140/en

    IEEE: Copy

    A. TAGHAVIPOUR, M.S. FOUMANI, and M. BOROUSHAKI, “IMPLEMENTATION OF AN OPTIMAL CONTROL STRATEGY FOR A HYDRAULIC HYBRID VEHICLE USING CMAC AND RBF NETWORKS (RESEARCH NOTE),” SCIENTIA IRANICA, vol. 19, no. 2 (TRANSACTIONS B: MECHANICAL ENGINEERING), pp. 327–334, 2012, [Online]. Available: https://sid.ir/paper/290140/en

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