Intelligent vehicle lane-changing trajectory planning method based on nonlinear model predictive control
A nonlinear model and predictive control technology, applied in the field of intelligent vehicles, can solve problems such as less lateral control, and achieve the effect of concise thinking, clear design basis, and shortened development cycle.
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[0022] The technical solution of the present invention and its simulation test will be introduced in detail below in conjunction with the accompanying drawings.
[0023] A method for real-time trajectory planning of intelligent vehicles based on nonlinear model predictive control, comprising the following steps:
[0024] Step 1. The nonlinear dynamic model design of the intelligent vehicle: by combining the linear two-degree-of-freedom model of the vehicle and the kinematic equation of the vehicle under the earth coordinates, the nonlinear dynamic equation of the controlled object is established;
[0025] Step 2, nonlinear model predictive controller design:
[0026] 2.1) use the time interval T for the nonlinear dynamics model that described step 1 establishes s After discretization, the state prediction equation of the system in the prediction time domain is obtained;
[0027] 2.2) By introducing the cost function and constraints of the control problem, construct an NMPC p...
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