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Improved online modeling method for switched reluctance motor backward torque

A technology of switched reluctance motor and modeling method, which is applied in the direction of motor control, AC motor control, control purpose model/simulation, etc. It can solve the problems of SRM lack of accurate mathematical model, complex electromagnetic relationship, and no practical value, etc., to achieve Effects of Avoiding Complexity and High Cost, Improving Modeling Accuracy, and Reducing Estimation Error

Inactive Publication Date: 2017-10-20
JIANGSU UNIV OF TECH
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Problems solved by technology

[0002] At present, the main difficulty in the high-precision control of SRM is that SRM lacks a practical and accurate mathematical model. Although SRM has a simple structure, its electromagnetic relationship is complex, with the characteristics of multivariable, strong coupling and high nonlinearity. Although based on the motor theory, it can The obtained nonlinear model that fully describes the SRM electromagnetic and mechanics is cumbersome to calculate, difficult to analyze, and has no practical value. One of the most important nonlinear relationships in the complete circuit, mechanical, and electromechanical contact equations of SRM is torque-current- Angle relationship model, establishing an accurate and practical model is the key task of SRM modeling

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  • Improved online modeling method for switched reluctance motor backward torque
  • Improved online modeling method for switched reluctance motor backward torque
  • Improved online modeling method for switched reluctance motor backward torque

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Embodiment Construction

[0055] In order to make the technical solutions of the present invention clearer and clearer to those skilled in the art, the present invention will be further described in detail below in conjunction with the examples and accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0056] Such as figure 1 As shown, an improved switched reluctance motor inverse torque online modeling method provided by this embodiment, the online modeling method is used for the construction of the parameters of the fuzzy neural network aftereffect adjustment based on error feedback of the switched reluctance motor Model method, including: establishing a torque model, obtaining data according to the torque characteristics of the switched reluctance motor, establishing a forward torque model and a reverse torque model offline based on the ANFIS algorithm; using the reverse torque model established offline for the SRM system In the process, online current estimat...

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Abstract

The invention discloses an improved online modeling method for switched reluctance motor backward torque, and belongs to the technical field of switched reluctance motor modeling. The method comprises the following steps of: establishing a forward torque model and a backward torque model offline based on an ANFIS algorithm; applying the backward torque model to an SRM system for online current estimation; applying the forward torque model to the SRM system for online torque estimation; using the estimated current of the backward torque model as the input for the forward torque, comparing the output torque of the forward torque model with an expected value to obtain a torque estimation error, and online adjusting the parameters of the backward torque model. The method improves the precision of the established nonlinear backward torque model so as to gradually reduce the estimation error; improves the precision of the established model; avoids the complexity and the high cost caused by a current sensor; and greatly improves the control performance of the model-based switched reluctance motor.

Description

technical field [0001] The invention relates to an online modeling method, in particular to an improved online modeling method for reverse torque of switched reluctance motors, belonging to the technical field of modeling of switched reluctance motors. Background technique [0002] At present, the main difficulty in the high-precision control of SRM is that SRM lacks a practical and accurate mathematical model. Although SRM has a simple structure, its electromagnetic relationship is complex, with the characteristics of multivariable, strong coupling and high nonlinearity. Although based on the motor theory, it can The obtained nonlinear model that fully describes the SRM electromagnetic and mechanics is cumbersome to calculate, difficult to analyze, and has no practical value. One of the most important nonlinear relationships in the complete circuit, mechanical, and electromechanical contact equations of SRM is torque-current- Angle relationship model, establishing an accura...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02P6/34H02P25/08H02P23/14
CPCH02P6/34H02P23/0018H02P23/14H02P25/08H02P2205/05
Inventor 姚雪莲杨艺贝绍轶赵景波王汝佳朱凯
Owner JIANGSU UNIV OF TECH
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