Fuzzy control strategy of DC torque motor with DSP Builder
- DOI
- 10.2991/icmemtc-16.2016.165How to use a DOI?
- Keywords
- DSP Builder; DC torque motor; Fuzzy control; PID; Speed control.
- Abstract
Due to the non-linearity, randomness factors in the process of actual control, we always can't get the accurate mathematical model of controlled object and the disturbances from outside may also cause serious influence to the controlled system, in this case using the conventional PID controller often cannot get satisfactory control effect. To make up for the shortage of the conventional PID controller, and overcome the outside factors, ensure the normal operation of the system. This paper presents a fuzzy theory combine with PID control technology and gets a new control method, then analyses the characteristics of fuzzy control and conventional PID control, and build a closed loop control system model with DSP Builder, make simulation analysis and actual speed control experiment. Experimental results show that, compared with the conventional PID controller, fuzzy PID controller's major dynamic parameters are better, when targets' parameter and structure getting a great change, the system's ability to maintain the stability of motor speed control system is greatly enhanced. Compared with the conventional PID control, the proposed control algorithm in the aspect of dynamic characteristics and stability has a clear advantage.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yan Zhang AU - Xiaoyu Zhang PY - 2016/04 DA - 2016/04 TI - Fuzzy control strategy of DC torque motor with DSP Builder BT - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control PB - Atlantis Press SP - 841 EP - 848 SN - 2352-5401 UR - https://doi.org/10.2991/icmemtc-16.2016.165 DO - 10.2991/icmemtc-16.2016.165 ID - Zhang2016/04 ER -