期刊文献+

Improved single-neuron PID controller for DC motor applied in robot system 被引量:5

Improved single-neuron PID controller for DC motor applied in robot system
下载PDF
导出
摘要 An improved single-neuron proportional integral derivative ( PID ) controller and a new method to build the DC motor system were presented in the article. In the simulation, the robot arm is considered as an external load to DC motor. Both the motor module and the load module are crea- ted in Simulink to achieve simulation results closer to real robot system. In this way, it can well veri- fy the performance of the improved single-neuron PID controller, which is a combined controller of normal PID controller and single-neuron PID controller. Besides, an intelligent switcher can help to realize the function of choosing a better control algorithm according to motor' s velocity output. Sim- ulated results confirm the rapid and stable response of the improved PID controller. Moreover, the improved single-neuron PID controller has an excellent ability to overcome the load impact and su- press the jamming signals. At last, a GUI interface platform is built to make the controller easier to be applied in other robot systems. An improved single-neuron proportional integral derivative ( PID ) controller and a new method to build the DC motor system were presented in the article. In the simulation, the robot arm is considered as an external load to DC motor. Both the motor module and the load module are crea- ted in Simulink to achieve simulation results closer to real robot system. In this way, it can well veri- fy the performance of the improved single-neuron PID controller, which is a combined controller of normal PID controller and single-neuron PID controller. Besides, an intelligent switcher can help to realize the function of choosing a better control algorithm according to motor' s velocity output. Sim- ulated results confirm the rapid and stable response of the improved PID controller. Moreover, the improved single-neuron PID controller has an excellent ability to overcome the load impact and su- press the jamming signals. At last, a GUI interface platform is built to make the controller easier to be applied in other robot systems.
出处 《Journal of Beijing Institute of Technology》 EI CAS 2012年第4期472-478,共7页 北京理工大学学报(英文版)
关键词 robot control system DC motor proportional integral derivative (PID) single-neuron robot control system DC motor proportional integral derivative (PID) single-neuron
  • 相关文献

参考文献12

  • 1Hutchinson S, Hager G D, Corke P I. A tutorial on visual servo control, robotics and automation [ J]. IEEE Transactions on Robotics and Automation, 1996, 12(5) :651 -670.
  • 2Liu Yugang, Liu Guangjun. Track-stair interaction a- nalysis and online tipover prediction for a self-fre- configurable tracked mobile robot climbing stairs[J]. IEEE/ASME Transactions on Mechatronics, 2009, 14(5) :528 -538.
  • 3Wang Xiaohong, Yu Xiaoxin, Tian Lianfang, et al. Motion control for rescue robot based on PC104 and CPLD [ C ] //International Conference on Industrial Mechatronics and Automation. Chengdu, China: IEEE, 2009:317-320.
  • 4Doi T, Hodoshima R, Hirose S, et al. Development of a quadruped walking robot to work on steep slopes, TITAN XI (walking motion with compensa- tion for compliance ) [ C ] //IEEE/RSJ InternationalConference on Intelligent Robots and Systems. Ed- monton, Canada: IEEE, 2005:3413-3418.
  • 5Lin Bai. Electric drive system with BLDC motor[ C ] //2011 International Conference on Electric Infor- mation and Control Engineering. Wuhan, China: IEEE, 2011:359 - 363.
  • 6Zhuang M, Atherton D P. Automatic tuning of opti- mum PID controllers [ J ]. IEEE Proceedings D ( Control Theory and Applications ), 1993, 140 ( 3 ) : 216 -224.
  • 7Tan Chee Siong, Ismail B, Siraj S F, et al. Analysis of fuzzy logic controller for permanent magnet brushless DC motor drives [ C ] //2010 Student Con- ference on Research and Development. Piscataway, NJ, USA: IEEE, 2010:436-441.
  • 8Lin Lixiong, Peng Xiafu. A PID neural network con- trol for permanent magnet synchronous motor servo system[ C ] //5th International Conference on puter Science and Education. Hefei, China 2010:1174 - 1178. Com- IEEE,.
  • 9Ansari U, Alam S, Minhaj un Nabi Jafri S. Modeling and control of three phase BLDC motor using PID with genetic algorithm [ C ]//2011 UKSim 13th Inter- national Conference on Modelling and Simulation. Cambridge, United Kingdom: IEEE, 2011: 189- 194.
  • 10Liu Chunyuan, Wang Mianhua, Li Dawei. Com- bined control of single neuron PID and normal PID of switched reluctance motor [ C] //2011 Interna- tional Conference on Consumer Electronics, Com- munications and Networks. Xianning, China: IEEE, 2011:146 -149.

同被引文献49

引证文献5

二级引证文献23

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部