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Fuzzy PID control algorithm based on PSO and application in BLDC motor
| Content Provider | Scilit |
|---|---|
| Author | Lin, Sen Wang, Guanglong |
| Copyright Year | 2017 |
| Description | Journal: Iop Conference Series: Earth and Environmental Science A fuzzy PID control algorithm is studied based on improved particle swarm optimization (PSO) to perform Brushless DC (BLDC) motor control which has high accuracy, good anti-jamming capability and steady state accuracy compared with traditional PID control. The mathematical and simulation model is established for BLDC motor by simulink software, and the speed loop of the fuzzy PID controller is designed. The simulation results show that the fuzzy PID control algorithm based on PSO has higher stability, high control precision and faster dynamic response speed. |
| Related Links | http://iopscience.iop.org/article/10.1088/1755-1315/69/1/012186/pdf |
| ISSN | 17551307 |
| e-ISSN | 17551315 |
| DOI | 10.1088/1755-1315/69/1/012186 |
| Journal | Iop Conference Series: Earth and Environmental Science |
| Issue Number | 1 |
| Volume Number | 69 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2017-06-12 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Earth and Environmental Science Hardware and Architecture Pid Control Algorithm |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences Physics and Astronomy Environmental Science |
