Permanent magnet synchronous motor multi-target parameter optimization method based on entropy weight method

Abstract

The invention discloses a permanent magnet synchronous motor multi-target parameter optimization method based on an entropy weight method. The method comprises the following steps: 1, establishing a permanent magnet synchronous motor vector control Simulink model based on model compensation active disturbance rejection; 2, performing multi-target layering on the permanent magnet synchronous motorvector control system model based on model compensation active disturbance rejection by using a comprehensive evaluation method, and establishing a corresponding evaluation index system; 3, aiming atmultiple indexes under the same performance, adopting an entropy weight method to objectively distribute the weight of each index, and aiming at the overshoot problem of the control system, adopting apenalty function to carry out unconstrained processing; and 4, selecting an optimization objective function, setting and optimizing model compensation parameters by using an NSGA-II algorithm based on non-dominated solution sorting, and performing multi-objective optimization on the response rapidity and stability of the permanent magnet synchronous motor vector control system simulation model based on model compensation active disturbance rejection. According to the design, multi-target parameter optimization is carried out by adopting an objective method, and the setting efficiency of the motor is effectively improved.

Description

Technical field [0001] The invention relates to a method for optimizing multi-objective parameters of a permanent magnet synchronous motor based on an entropy weight method, and is particularly suitable for an on-line tuning and optimizing method for control parameters in a Simulink simulation model of a control system in the engineering field. Background technique [0002] Permanent magnet synchronous motors are widely used in the field of power drive due to their simple structure, high torque-to-current ratio and high power density. The vector control of a permanent magnet synchronous motor usually includes an outer speed loop, an inner current loop and a PWM control algorithm. Speed ​​loop and current loop often include PID control, sliding mode control (SMC), proportional resonance control (PR), active disturbance rejection control (ADRC) and model predictive control (MPC). And each control loop requires parameter tuning and optimization. Theoretically, for the actual contr...

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Problems solved by technology

Theoretically, for the actual control system that cannot accurately represent the transfer function, it is not possible to use the pole configuration method, amplitude-phase margin method, and pattern recognition methods of classical control theory for parameter setting and optimization.

Therefore, engineering usually relies on critical proportionality (ZN method), attenuation curve method and empirical trial and error method, etc., and mostly relies on manual experience to adjust parameters, while the controller has many parameters and a large amount of debugging.

[0003] Most of the online tuning and optimization methods for parameters that have been proposed at this stage take a single control performance as the optimization target, and choosing different performance indicators will make the parameters and structures of the controllers also different. When designing an optimal controller, often It is necessary to consider the multi-objective optimization of control performance, and the contradiction between multiple control performance indicators has always existed, such as the contradiction between overshoot and response time, and the reduction of overshoot will inevitably lead to the increase of response time

The contradiction between the steady-state error and the adjustment time, the reduction of the steady-state error will inevitably lead to the increase of the adjustment time, etc.

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