Fuzzy adaptive PID design and implementation of intelligent car

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Fuzzy adaptive PID design and implementation of intelligent car

DING Fang^a,WANG Rui^a,LIU You-long^a,LIN Jian-wei^b

(a. College of Aeronautical Automation,b.College of Computer Science & Technology,CAUC,Tianjin 300300,China)

Received:2013-10-18 Revised:2013-11-22 Online:2014-12-25 Published:2014-12-05

Abstract

Abstract:

As directional control and speed control are nonlinear and time-varying during intelligent car controlling process,it's not ideal to use traditional PID algorithm. With online parameter modifying ability,fuzzy adaptive PID algorithm helps smart cars make appropriate controlling decisions according to road conditions. Fuzzy adaptive PID algorithm is achieved by Simulink in Freescale microcontroller (MK60DN512ZVLQ10)programming environment,and is compared with traditional PID control algorithm. Simulation and experimental results show that fuzzy adaptive PID controller has smaller overshoot, faster response and stronger adaptability.

Key words: fuzzy control, PID control, intelligent car, simulink

CLC Number:

TP29
TP242.6

DING Fang,WANG Rui,LIU You-long,LIN Jian-wei. Fuzzy adaptive PID design and implementation of intelligent car[J]. .

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Fuzzy adaptive PID design and implementation of intelligent car

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