Permanent magnet synchronous motor rotation speed controller based on recursive fuzzy neural network
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- WUXI OPEN UNIV
- Publication Date
- 2018-04-27
- Estimated Expiration
- Not applicable · inactive patent
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Abstract
Description
technical field
[0001] The invention relates to the technical field of permanent magnet synchronous motor control, in particular to a method for designing a speed controller of a permanent magnet synchronous motor based on a bat-artificial bee colony hybrid algorithm to optimize a recursive fuzzy neural network. Background technique
[0002] Permanent magnet synchronous motor (referred to as PMSM) uses high-energy permanent magnet instead of electric excitation, no excitation coil and brush, small volume and loss, high operating efficiency and reliability, strong ability to adapt to the external environment, and its technical performance is better than permanent magnet brushless DC motors and induction motors have been widely used in low-power applications such as electrical transmission systems, CNC machine tools, and industrial robots. However, due to the characteristics of high-order, time-varying parameters, multi-variable, severe nonlinearity and strong coupling of perm...