Optimal trajectory control of smart cars based on a simple servo algorithm

The research on smart cars involves many fields, such as DC/AC motor and its driving, sensors and testing technology, signal processing, computer recognition, data fusion technology, vehicle engineering and so on. It is important and necessary to explore and improve the intelligent vehicle and the intelligent transportation system by researching models of smart cars. A smart car, which adopts photoelectric sensors to extract traffic information with a simple servo algorithm to optimize the control trajectory, has been designed in this paper. A tracking strategy with oscillating steering and swerve steering has been introduced. The simplified algorithm has been programmed in order to realize a better method with high stability tracking speed for the smart car. Some experiments have been operated and the results proved the feasibility and efficiency of the algorithm. The movement and the control of the smart car can be the basis for the compound algorithm and control in our daily life.