Designed Fuzzy PD with Automatic Gain Adjustment for Intelligent Vehicle

Sunphong Thanok, S. Howimanporn
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Abstract

This paper is focused on the design of steering, brake and throttle value system of an intelligent vehicle which is built by AIT. Heading direction is controlled to evaluate the efficiency of the proposed tuning gain PD with fuzzy algorithm. The heading controlled algorithm is based on the conventional PD control with fuzzy gain tuning rule. The result shows that the conventional PD controller compared with tuning gain PD with fuzzy algorithm has superior performance than the conventional PD controller.
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设计了智能汽车增益自动调节模糊PD
本文主要研究了用ai技术构建的智能汽车转向、制动和油门控制系统的设计。通过控制航向,用模糊算法评价该调谐增益PD的有效性。航向控制算法是在传统PD控制的基础上,采用模糊增益整定规则。结果表明,将传统PD控制器与模糊增益PD控制器进行比较,其性能优于传统PD控制器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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