Title:
TEACHING AND LEARNING ALGORITHM-BASED CALCULATION METHOD FOR PERMANENT MAGNET SYNCHRONOUS MOTOR DESIGN
Document Type and Number:
WIPO Patent Application WO/2018/072296
Kind Code:
A1
Abstract:
A teaching and learning algorithm-based calculation method for permanent magnet synchronous motor design, comprising: ten structural parameters of a permanent magnet synchronous motor will be taken as optimization variables. The method specifically comprises the following steps: 1. a mathematical model; 2. a novel improved teaching and learning algorithm; (1) a teaching stage; (2) a learning stage; 3. constraints; The present invention applies a novel improved teaching and learning algorithm and combines with Ansys finite element software to achieve optimal structural parameters for designing a permanent magnet synchronous motor so as to minimize the value of a target function and simplify an actual model, thereby achieving the purposes of reducing loss and cost of the motor and reducing volume, and meeting performance requirements of the motor. The motor efficiency may reach 97.5%, power factor is increased to 0.95, and the cost of each motor is reduced by 270 yuan. The calculation method is simple and easy to apply in an actual system, thereby further improving the speed and accuracy of the algorithm.
Inventors:
QIAN WEI (CN)
CHEN HUWEI (CN)
CHEN HUWEI (CN)
Application Number:
PCT/CN2016/110686
Publication Date:
April 26, 2018
Filing Date:
December 19, 2016
Export Citation:
Assignee:
QIAN WEI (CN)
International Classes:
G06F17/50
Domestic Patent References:
| WO2011149245A2 | 2011-12-01 |
Foreign References:
| CN201204529Y | 2009-03-04 | |||
| CN202652027U | 2013-01-02 |
Other References:
CHEN, HUWEI ET AL.: "Design and Research of Permanent Magnet Synchronous Motor Control System Based on Two-Stage Matrix Converter", INNOVATION AND APPLICATION OF SCIENCE AND TECHNOLOGY, 6 August 2013 (2013-08-06), pages 3 and 4, ISSN: 2095-2945
Attorney, Agent or Firm:
NANJING ZHISHI LAW FIRM OF INTELLECTUAL PROPERTY (CN)
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