Neural-network self-correcting control method of permanent magnet synchronous motor speed loop
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- SOUTHEAST UNIV
- Publication Date
- 2012-06-13
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Abstract
Description
technical field
[0001] The invention relates to a speed loop self-correction control method of a high-precision permanent magnet synchronous motor servo system, in particular to a neural network self-correction control method of a permanent magnet synchronous motor speed loop, belonging to the technical field of high-precision servo control systems. Background technique
[0002] The permanent magnet synchronous motor has the characteristics of no mechanical commutator, simple structure, easy to realize forward and reverse switching, good fast response, etc., and its application range is becoming wider and wider. High-performance all-digital servo control system has become the development trend of contemporary AC servo system, and is widely used in the field of industrial production automation, especially in the field of high control precision requirements such as robots, aerospace, CNC machine tools, and special processing equipment. Therefore, the requirements for its perfo...