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An improved model-based predictive control of vehicle trajectory by using nonlinear function Jeong-Han Lee
The Journal of Mechanical Science and Technology, vol. 23, no. 4, pp.918-922, 2009
Abstract : A new model-based predictive control algorithm for vehicle trajectory control is proposed by using vehicle velocity
and sideslip angle. Based on the error function combined with vehicle velocity and side slip of a bicycle model, a predictive
control method has been proven to be useful on low velocity. Thus, it could be applied for an autonomous vehicle
without a driver. Although an autonomous robot is not necessary to be driven with a high velocity, a commercial
vehicle has to be driven at high velocity. Thus the previous predictive control formulation is not enough for a commercial
driving system. This study is proposed to enhance the capacity of the predictive controller for rather high speed
vehicles.
Keyword :
Model-based predictive control; Vehicle trajectory tracking; Multibody simulation; Vehicle dynamics; Nonlinear steering
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