Design of Fuzzy Control Crash Safety for Intelligent Self-Propelled Car

• Main Authors: Ming-Tang Yang, 楊明堂
• Other Authors: Mao-Lin Chen
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/74354766368785574525

碩士 === 建國科技大學 === 自動化工程系暨機電光系統研究所 === 102 === This paper is designed to achieve intelligent fuzzy control of self-propelled car crash safety design of roads in the integration of applications. Because of the rapid development of the highway, traffic accident prevention is getting more and more important. The intelligent control of car anti-collision can actually reduce highway overtaking collision. Most of overtaking collisions cause from didn't keep a safe distance. Due to long distance driving and attention wandering, driver's eyes and driving experience is not good enough. Car accidents usually take place in a blink applied. In order to reduce and make the car accidents, car driving in a constant safety distance. This system makes use of ultrasonic sensors and driving speed as the fuzzy control input. Meanwhile, the safe distance is as the fuzzy control output. The experimental verification indicates the design can actually make the car driving more carefully and safely. The simulation also verifies this intelligent control of car anti-collision system is stable, practical, sturdy and can effectively achieve highway driving safety function.