Application of fuzzy algorithm in the direction of intelligent car

Whether intelligent car can advance automatically along the navigation line is the core problem in intelligent vehicle control. For the intelligent vehicle which can navigate autonomously, serious nonlinear problems exist in direction control and speed control. Non-linear control can be achieved by fuzzy control, and the suitability and robustness to uncertain elements are better. This paper adopts fuzzy control technology to meet direction change of steering engine and implement smart car´s direction control flexibly and intelligently. Typical PID adjustment is used in speed control by optimizing the parameters. The control strategy of this paper is programmed on basis of MC9S12DG128B, which is a kind of the 16-bit MCU. Besides, with the design of self-adapting fuzzy controller, the application becomes more widely. Practical experiments show that following the guided line, smart car can run stably and react swiftly with fuzzy controller. The design of fuzzy controller fully realized the initial design goals.