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基于模糊逻辑的汽车行驶方向模型的研究 被引量:1

Based on Fuzzy Logic a Research on Traveling Direction of the Car Model
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摘要 模糊逻辑是一种新型的智能算法,为求解各种复杂的非定性问题提供了一种新的思路。汽车的运动是一个非常复杂的过程,而模糊逻辑正好适合这种复杂的情况。本文通过采用模糊逻辑理论对汽车的行进方向进行研究。实验结果表明,使用模糊逻辑后,对汽车的控制达到了预期的效果。使用模糊逻辑比使用传统的PID算法的控制策略在实验效果上更好。 Fuzzy logic is a new intelligent algorithm for solving the complex problems of non-qualitative provides a new way of thinking.Vehicle movement is a very complex process,and fuzzy logic is perfect for this complex situation.Through the use of fuzzy logic theory to study the direction of vehicle travel.The experiment results show that by the use of fuzzy logic,the control of the car is achieved the desired results.Using fuzzy logic algorithm is better than using the traditional PID control strategy in the experiment.
作者 滕兆明 王红
出处 《信息技术与信息化》 2011年第1期67-70,共4页 Information Technology and Informatization
基金 国家自然科学基金项目(60970004) 山东省研究生教育创新计划资助项目(SDYY10059) 山东师范大学研究生重点课程建设项目
关键词 模糊逻辑 隶属度 汽车模型 模糊规则 Fuzzy logic Membership Car model Fuzzy rules
作者简介 滕兆明(1982-),男(汉族),山东省日照市人,山东师范大学硕士,主要从事优化算法和复杂网络的研究。
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参考文献6

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