Neural network for on-line setting of parameters of active-disturbance-rejection controller of permanent magnet synchronous motor

A technology of active disturbance rejection controller and neural network, which is used in motor generator control, AC motor control, electronic commutation motor control, etc., can solve the problem that PI parameters cannot adapt to frequent and large-scale changes in speed, and cannot simultaneously solve the problem of rapidity and speed. Overshoot, rough theoretical parameter range, etc., to achieve good application prospects, reduce labor and time, and achieve good robustness.

Pending Publication Date: 2022-07-01
XIAN UNIV OF TECH
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Problems solved by technology

However, the PI controller has the following inherent defects: ① cannot solve the contradiction between rapidity and overshoot at the same time; ② the same set of PI parameters cannot adapt to the working conditions of frequent and large-scale changes in speed, and the PI parameters of each speed segment need to be adjusted in sections; ③ Even if If the working point changes in a small range, it will also experience a long recovery time, and there will inevitably be static errors, etc.
Another example, Sun Bin et al. studied a speed However, the basic idea is still to use the linear system analysis tool (frequency domain method) to solve the parameter tuning problem of the ADRC controller, and only a rough theoretical parameter range can be given. Specifically, The process of setting the best parameters still needs the help of manual experience

Method used

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  • Neural network for on-line setting of parameters of active-disturbance-rejection controller of permanent magnet synchronous motor
  • Neural network for on-line setting of parameters of active-disturbance-rejection controller of permanent magnet synchronous motor
  • Neural network for on-line setting of parameters of active-disturbance-rejection controller of permanent magnet synchronous motor

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Embodiment Construction

[0057] The following describes in detail the embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary, only used to explain the present invention, and should not be construed as a limitation of the present invention.

[0058] The neural network of the present invention for online tuning of the parameters of the permanent magnet synchronous motor active disturbance rejection controller is essentially the speed control strategy of the permanent magnet synchronous motor. First, a first-order active disturbance rejection controller with a speed outer loop is designed, and Combining the neural network and the ADRC, using the characteristics of the neural network to optimize the key parameters in the ADRC in...

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Abstract

The invention discloses a neural network for on-line setting of parameters of an active-disturbance-rejection controller of a permanent magnet synchronous motor. The neural network is specifically implemented according to the following steps that 1, a first-order active-disturbance-rejection controller composed of a tracking differentiator, an expansion state observer and a nonlinear state error feedback control rate is designed; 2, a real-time rotating speed signal and a speed signal obtained by a photoelectric encoder are subjected to one-step delay, and output signals of the signals and an active-disturbance-rejection controller are sent to an input layer of a neural network to serve as input of the neural network; 3, combining the radial basis function neural network with the structure of three input layers, three hidden layers and one output layer with an active disturbance rejection controller, and designing a parameter regulator; and step 4, the designed neural network active-disturbance-rejection controller is used as a speed controller to carry out real-time adjustment on the system.

Description

technical field [0001] The invention belongs to the technical field of permanent magnet synchronous motor speed control, and in particular relates to a neural network for on-line tuning of parameters of an active disturbance rejection controller of a permanent magnet synchronous motor. Background technique [0002] In recent years, permanent magnet synchronous motor speed control systems have been increasingly used in many high-performance industries such as robots, automobiles, and aviation. The rapid development of these industries has also put forward higher requirements for the control accuracy of speed control systems. At present, PI control still occupies a dominant position in the actual industrial application motor control system. The PI controller is usually used in the traditional permanent magnet synchronous motor speed control system, and the control structure is simple and easy to understand and realize. However, the PI controller has the following inherent def...

Claims

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Application Information

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IPC IPC(8): H02P21/13H02P21/00H02P25/026
CPCH02P21/13H02P21/0014H02P25/026
Inventor 李洁鲁月明任海鹏
Owner XIAN UNIV OF TECH
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