Optimal Design of Multi-Function Sensory Control in Automatic Car

• Main Authors: HSU,KUANG-HENG, 許光亨
• Other Authors: Kuo,Jian-Long
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/kb6r63

碩士 === 國立高雄科技大學 === 機械與自動化工程系 === 107 === The purpose of this paper is to apply the DC motor to the self-propelled vehicle. In this study, the development of self-propelled vehicle is carried out with Arduino UNO. The core architecture includes body structure, drive control and servo motor equipment. The optimal control parameters are obtained by optimizing the method, and the travel time is shortened to aim of design. The design of the design mainly to minimize the travel time of the car, the design is mainly focused on the weight of the car, so the use of DC motor power supply for the self-propelled source, and by ICL293D to control the motor forward and reverse; The use of the design of the body, and consider the parameters of the control motor from the single-chip (Arduino UNO) in the control logic to control the behavior of the car. In this study, the Taguchi method was used to optimize the factors affecting the average number of mothers and the number of variation of the parent group, and the results were analyzed. And the fuzzy standard is used to support the design of Taguchi method, and then the correctness of the multi-objective parameters is verified by the double reaction surface method, and the correctness of the multi-objective parameters is verified by the fuzzy theory. The experimental solution is optimized design.