AUTOMATIC CRUISE CONTROL MODEL FOR A CAR

Abstract

The purpose of this work is to develop an automatic model of cruise control of a car, a model of its rectilinear motion and their comprehensive study. This work is relevant due to the lack of adaptive cruise control systems on domestic cars, high traffic congestion and tedious traffic jams for the driver. To achieve this goal, the task of developing an automatic model of the cruise control system, including ten possible states, taking into account the interaction with the standard subsystems of the car and the radar, has been solved. The model takes into account the ranges of changes in vehicle speeds depending on the engine speed, and also estimates the duration of braking depending on the road situation and the condition of the vehicle subsystems. On the based automatic model were recieved six scenarios of the cruise control system operation obtained, taking into account possible errors and control effects on the vehicle subsystems, depending on the current situation. During the development of the rectilinear motion model, the forces of friction and air resistance, gravity, traction force and inertia force were taken into account. The model is supplemented by the dependence of the torque on the rotational speed of the crankshaft, obtained by approximation and angle of change in the slope of the roadway. In research was found that in order to increase the adequacy of the model, it is necessary to take into account the dynamics of the engine and transmission. This disadvantage is eliminated by introducing two additional firstorder differential equations. In the study of the complex cruise control model, a PID controller and a P-controller as an obstacle controller were used as a speed controller. Adjustment of the parameters of the regulators was performed using genetic algorithms from the MATLAB package. Experimental studies on the simulation model have shown the high efficiency of the developed models and algorithms.