A Method for Optimizing Structural Parameters of Torque Motor

Abstract

The invention relates to a method for optimizing structural parameters of a torque motor, which belongs to the field of intelligent optimization design of electric motors. The finite element analysis system is used to model the introduced structural parameters and analyze the torque to replace the traditional mathematical model analysis and calculation of the electric motor, so that the error of the calculation result is small, High accuracy; the present invention proposes a variable weight immune clone selection algorithm. After adopting the variable weight mechanism, the weight between single objective functions will be continuously adjusted as the algorithm runs, and the weight of the single objective function close to the design requirements will be becomes smaller, and the weight of the single objective function with larger deviation requirements continues to increase, thereby speeding up the convergence speed of the algorithm, saving a lot of unnecessary optimization time, and obtaining the optimal result faster; in addition, the algorithm can effectively It maintains the diversity of the population, can realize global search and local search at the same time, helps to prevent premature evolution and search from being trapped in local minimum, and can solve complex nonlinear problems.

Description

technical field [0001] The invention belongs to the field of motor intelligent optimization design, and in particular relates to a method for optimizing structural parameters of a torque motor. Background technique [0002] At present, the calculation and analysis methods of motors mainly include the magnetic circuit analysis method of concentrated parameters, the electromagnetic theory method of distributed parameters, and the finite element analysis method; the magnetic circuit analysis method of concentrated parameters is easy to calculate theoretically, but the calculation error is large. In order to make up for the error However, the introduced correction parameters require a large number of engineering tests to obtain, which is time-consuming and labor-intensive; the theoretical calculation of the distributed parameter electromagnetic field theory method is complex, and it cannot solve the complex boundary conditions and nonlinear factors of materials. [0003] However...

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Problems solved by technology

But there are still many problems. For example, the optimization result is closely related to the selection of the initial solution; the optimization algorithm often converges to the local extreme point near the initial value, and it is difficult to obtain the ideal global optimal result; Difficult; motor modeling and optimization design are multi-dimensional optimization problems in multi-mode space under the condition of noise. The excellent characteristics of the objective function required by traditional analytical and numerical methods no longer exist. Therefore, traditional optimization methods cannot Easily or accurately complete the multi-dimensional multi-mode optimization task of the motor

[0005] Because the structure of the new torque motor is different from that of ordinary motors, using the traditional magnetic circuit analysis method requires more engineering experience, and the correction of the structural parameters is only a trial and error method, and the calculation error is large; the use of the finite element method can ensure The calculation accuracy of the motor model is high, but the amount of calculation is large and the labor is time-consuming when optimizing the design of structural parameters

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