To further enhance the robustness and real-time performance of path tracking predictive control for high-speed autonomous vehicle
a predictive control method for path tracking considering error feedback correction mechanism is proposed. A three-degree-of-freedom vehicle model with weak nonlinearity is established considering the longitudinal
lateral and yaw motions of the vehicle. The linear time-varying first-order approximation of the control model is reali-ed by Taylor formula expansion. The predictive state variable is introduced to construct a path tracking optimi-ation scheme. Aiming at the problems of mismatch caused by uncertainties such as vehicle parameter deviation
system time-varying and external disturbance
the error between the actual state value and the predicted one is defined
and the prediction output model with feedback correction term is obtained. The robustness of the prediction model of the path tracking control system is enhanced by the error feedback correct
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references
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西安交通大学陕西省智能电网重点实验室,710049,西安Shaanxi Key Laboratory of Smart Power Grid, Xi'an Jiaotong University, Xi'an 710049, China
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