DataHub v1 is the original DataHub catalog of 11,000+ open datasets, now migrated to PortalJS Arc.
Dataset

Simulation Research on Control System of Brushless DC Motor Based on Fuzzy-PID

To improve the overall performance of brushless DC motor (BLDCM), fuzzy-PID controller and its application in BLDCM control system are presented. Through the analysis of the mathematical models of BLDCM and combination of fuzzy control strategy and traditional PID control strategy, the modeling and simulation are done…

About

To improve the overall performance of brushless DC motor (BLDCM), fuzzy-PID controller and its application in BLDCM control system are presented. Through the analysis of the mathematical models of BLDCM and combination of fuzzy control strategy and traditional PID control strategy, the modeling and simulation are done by the fuzzy control toolbox of MATLAB. The simulation results show that the fuzzy PID control speeds up response time, reduces the overshoot, and has strong robust and adaptive capacity, so it can make the system have better control performance and good application value. http://www.sj-ce.org/paperInfo.aspx?ID=548

Download & API
Simulation Research on Control System of Brushless DC Motor Based on Fuzzy-PIDaspx31 KB
To improve the overall performance of brushless DC motor (BLDCM), fuzzy-PID controller and its application in BLDCM control system are presented. Through the analysis of the mathematical models of BLDCM and combination of fuzzy control strategy and traditional PID control strategy, the modeling and simulation are done by the fuzzy control toolbox of MATLAB. The simulation results show that the fuzzy PID control speeds up response time, reduces the overshoot, and has strong robust and adaptive capacity, so it can make the system have better control performance and good application value.
Download
Sources & license
License
  • Other (Open)