Name
Abstract | ||
|---|---|---|
Permanent Magnet Brushless DC (PMBLDC) machines are more popular due its simple structure and low cost. Improvements in permanent magnetic materials and power electronic devices have resulted in reliable, cost effective PMBLDC drives, for many applications. Advances in artificial intelligent applications like neural network, fuzzy logic, Genetic algorithm etc. have made tremendous impact on electric motor drives. The brushless DC motor is a multivariable and non-linear system. In conventional PMBLDC drives speed and position sensing of brushless DC motors require high degree of accuracy. Unfortunately, traditional methods of control require detailed modelling of all the motor parameters to achieve this. The Intelligent control techniques like, fuzzy logic control/Neural network control etc. uses heuristic input---output relations to deal with vague and complex situations. This paper presents a literature survey on the intelligent control techniques for PMBLDC motor drives. Various AI techniques for PMBLDC motor drives are described. Attempt is made to provide a guideline and quick reference for the researchers and practicing engineers those are working in the area of PMBLDC motor drives. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/s10462-009-9152-3 | Artif. Intell. Rev. |
Keywords | Field | DocType |
PMBLDC,Artificial intelligent,Intelligent control,Fuzzy,Neural network | Intelligent control,Computer science,Fuzzy logic,DC motor,Control engineering,Electronics,Artificial intelligence,Artificial neural network,Machine learning,Genetic algorithm,Electric motor,Applications of artificial intelligence | Journal |
Volume | Issue | ISSN |
33 | 3 | 0269-2821 |
Citations | PageRank | References |
3 | 0.53 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| R. A. Gupta | 1 | 13 | 3.72 |
| Rajesh Kumar | 2 | 185 | 24.08 |
| Ajay Bansal | 3 | 320 | 27.21 |