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基于ATmega128单片机的机器人路径规划控制器的硬件设计 被引量:2

Hardware Design of Controller for Mobile Robot Path Planning Based on ATmega128
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摘要 以ATmage128单片机为核心,提出了一种基于模糊控制的移动机器人路径控制的设计思路,搭建了一个基于人机监督指导的移动机器人智能避障系统。系统预先设定目标,移动机器人通过超声波测物避障,自主移动到达目标。给出了控制系统硬件设计方案,并对系统的显示电路、超声波测距电路、电机驱动电路、无线通信电路等硬件模块接口电路作出了简要描述。该系统各功能模块化,电路简单,易于调试,便于其他功能的扩展,具有较好的工程实用价值。 This paper explains a design concept of fuzzy controller based mobile path planning based on ATmega128 MCU. This system could set the route in advance. The mobile robot can avoid obstacle with the help of ultrasonic sensor, arrive the destination through fuzzy control of mobile robot path planning. The concept of the system hardware is discussed. This paper presents also the interfaces of LCD, ultrasonic sensor, motor drive and wireless communication. The modularized circuit is easy to debug and is to expand its function.
作者 丁易新
出处 《信息化研究》 2009年第1期48-50,共3页 INFORMATIZATION RESEARCH
关键词 机器人 路径规划 ATMEGA128 L298N NRF903 robot path planning ATmega128 L298N nRF903
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  • 1王小忠,孟正大.机器人运动规划方法的研究[J].控制工程,2004,11(3):280-284. 被引量:18
  • 2李洪科,吴汉松,刘芬.基于RTW的无刷直流电机控制系统仿真的新方法[J].微计算机信息,2005,21(06S):12-14. 被引量:7
  • 3邰宜斌,席裕庚,李秀明.一种机器人路径规划的新方法[J].上海交通大学学报,1996,30(4):94-100. 被引量:14
  • 4Kruusmaa M, Willemson J. Covering the path space: a casebase analysis for mobile robot path planning[J]. Knowledge-Based Systems,2003,16(5-6): 235-242. 被引量:1
  • 5Yahja A, Singh S, Stentz A. An efficient on-line path planner for outdoor mobile robots[J]. Robotics and Autonomous Systems,2000,32(2): 129-143. 被引量:1
  • 6Koeing S, Likhachev M. Improved fast replanning for robot navigation in unknown terrain[C]. Washington DC:Proceedings 2002 IEEE International Conference on Robotics and Automation,2002. 被引量:1
  • 7Nilsson N J. Introduction to artificial intelligence principles[J]. Rivista di Informatica,1981,11(1): 13-38. 被引量:1
  • 8Stentz A. Optimal and efficient path planning for partially-known enviroments[C]. San Diego:In Proceedings of the IEEE International Conference on Robotics and Automation,1994. 被引量:1
  • 9Stentz A. The focussed D* algorithm for real-time replanning[C]. Montreal:In Proceedings of the International Joint Conference on Artificial Intelligence,1995. 被引量:1
  • 10Podsedkowski L, Nowakowski J, Idzikowski M,et al. A new solution for path planning in partially known or unknown environment for nonholonomic mobile robots[J]. Robotics and Autonomous Systems,2001,34(2-3):145-152. 被引量:1

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