Abstract
Model reference adaptive control (MRAC) is proposed for torque coordination in order to improve dynamic performance during the mode transition of a parallel hybrid electric vehicle. Although model reference control (MRC) has been shown to be effective in controlling the mode transition, difficulties arise in application because the parameters of the reference model is unknown and time-varying. Small error of the parameter estimation may lead to instability of the MRAC system. With a reference model whose parameters are tuned by an estimator, the stability condition of the MRAC is derived. Thereafter, an adaptive law is designed to tune the feed-forward and feedback gains to satisfy the stability conditions for the mode transition. Simulation results show that the proposed MRAC can be stable even when the estimation error is large, and performs well under different road conditions.
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