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Research On Adaptive Cruise System Based On MPC Control Algorithm

Posted on:2020-10-30Degree:MasterType:Thesis
Country:ChinaCandidate:H Y HouFull Text:PDF
GTID:2392330623951814Subject:Vehicle engineering
Abstract/Summary:PDF Full Text Request
With the deepening of research on active safety of automobiles,adaptive cruise control(ACC)is one of the important branches of intelligent driving assistance system(ADAS),its controllability in road flow control,environmental protection,fuel economy and passenger comfort.To make it more research and exploration.The adaptive cruise system utilizes its basic cruise control and follow-up functions to ensure the safety of the car following the car and reduce the occurrence of traffic accidents.The MPC algorithm is a relatively novel control strategy used to study the control system.Based on this,this paper is based on the following research work:Firstly,based on the MPC control strategy,this paper uses its rolling optimization and feedback correction links,combined with the longitudinal motion state equation of the vehicle to build the MPC prediction model needed in this paper,and establishes the objective function and constraints,using the minimum two norms for the most.Excellent solution to the expected acceleration and output performance indicators;Secondly,this paper compares the MPC algorithm with the traditional PID control algorithm,and points out that the control algorithm used in this paper is a hybrid control strategy based on the advantages of the two algorithms,and at the same time guarantees the safety following performance based on the MPC strategy.In this paper,a variable workshop time interval based on the acceleration of the preceding vehicle acceleration is proposed,and compared with the fixed workshop time interval,the feasibility of the variable workshop time interval is verified by simulation analysis.Finally,this paper combines SIMULINK software and S function to build the control module equation graph based on MPC strategy and the S function code for preparing prediction model.At the same time,the relevant vehicle model parameters and braking,engine type and other models are set in CARSIM software.Software,co-simulation adaptive cruise system follows the MPC algorithm and the fixed speed condition under the PID algorithm.At the same time,it points out that the decision module designed in the preceding vehicle cut-in and cut-out conditions and the research in this paper simulate a vehicle encounter.Common conditions for speed limit signs.The result analysis shows that the MPC algorithm can better realize thecar following,safety,economy and passenger comfort,and the addition of the decision module can better realize the function of the car’s automatic lane change.
Keywords/Search Tags:ACC, MPC control, decision module, variable workshop time interval, co-simulation
PDF Full Text Request
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