模糊算法在智能车控制中的应用  

Application of Fuzzy Algorithm in Smart Car

作　　者：丁芳[1] 贾翔宇[1] 李科伟[1] 杨明[1] 

机构地区：[1]中国民航大学航空自动化学院,天津300300

出　　处：《中国民航大学学报》2009年第1期27-30,共4页Journal of Civil Aviation University of China

摘　　要：在自行设计的智能车中,方向控制和速度控制都存在高度非线性的问题。采用模糊算法与PID算法相结合的方法,实现了对方向和速度的优化控制,即采用模糊算法对智能车方向进行控制;采用模糊PID算法实现了对于智能车的速度控制。从而使智能车能够根据路况的变化,做出相应的控制决策。控制策略是在Freescale单片机MC9S12DG128B上编程实现,实验表明:加载了模糊算法的智能车,对赛道的适应性和控制的稳定性都得到了较大的提高,具有很好的控制效果。In the smart car which is designed by myself, Serious nonlinear problems exist in direction control and speed control. This paper implements the optimal control to direction and speed control by combining fuzzy algorithm and PID The meaning of the albreviation algorithm, namely we use fuzzy algorithm to control the direction and use fuzzy PID algorithm to control the speed, so that the smart car can make the appropriate decision-making based on the change of the track. The control strategy of this paper is programmed on MC9S12DG128B which is a kind of the Freescale MCU. Experiments show that the smart car, which adopts the fuzzy algorithm, improves the adaptability to the track and the stability of control greatly. This method has good effect to the smart car.

关 键 词：模糊控制 智能车 单片机 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]