Fuzzy Control Research in the Courses of Smart Car

The key problem in intelligent vehicle control is whether it can advance autonomously following the navigation line. In 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 adaptability and robustness to uncertain elements are better. To the automatic guided vehicle(AGV),this paper adopts fuzzy control technology to direction change of steering engine, and realizes smart car’s direction control flexibly and intelligently. This paper adopts typical PID adjustment, and optimizes the parameters. The control strategy of this paper is programmed on MC9S12DG128B, which is a kind of the Freescale MCU. Actual tests show that following the guided line, smart car can run stably and react swiftly which is adopted fuzzy controller in direction control. The design of fuzzy controller fully realized the initial design goals.