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.