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Model-free predictive current control method based on extended state observer

A technology of predicting current and control method, which is applied in the direction of motor control, motor generator control, AC motor control, etc., can solve the problem of poor robustness of model predictive control parameters, and achieve the effect of improving robustness

Inactive Publication Date: 2019-12-20
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0004] The present invention is to solve the problem of poor robustness of model predictive control (MPC) parameters

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  • Model-free predictive current control method based on extended state observer
  • Model-free predictive current control method based on extended state observer
  • Model-free predictive current control method based on extended state observer

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[0029] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0030] figure 1 It is a model-free predictive current control block diagram, which includes an ESO-based model-free predictive current control module, wherein the ESO-based model-free predictive current control module converts the input reference value into a voltage reference value, and then through space vector pulse width modulation (SVM ) to obtain the switching value given to the two-level inverter (2-level VSI), to control the on-off of the three-phase bridge arm of the inverter, and to realize the control of the induction motor (IM). The above scheme can observe the total disturbance of the system by using the extended state observer, and compensate the model and unknown disturbance as a feedback, and realize the m...

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Abstract

A model-free predictive current control method based on an extended state observer is provided. The method comprises: writing a state equation of a second-order system, using a linear extended state observer and constructing a linear state observer equation; by combining a super-local model of current control of an asynchronous motor oriented based on the indirect magnetic field, designing a stator current linear extended state observer; discretizing the observer and choosing appropriate observation parameters to ensure the stability and good control performance of the observer; and writing the designed stator current linear extended state observer as the state equation to obtain an observation error of the observer, and obtaining a characteristic equation of the extended state observer soas to set reasonable observation parameters. According to the model-free predictive current control method based on an extended state observer provided by the present invention, current control without any motor parameter is realized, and the robustness of the model predictive control (MPC) to the motor parameters is greatly improved.

Description

technical field [0001] The invention relates to an observer design strategy of an asynchronous motor, in particular to a model-free predictive current control method based on an extended state observer. Background technique [0002] Active Disturbance Rejection Control (ADRC) is an improved control system, which is widely used because it can effectively control complex systems with nonlinear, time-varying and unknown functions. Extended State Observer (Extended State Observer, ESO) is the core part of the active disturbance rejection control system, which can observe the state variables and unknown disturbances of the system. [0003] Extended state observers are often used in engineering to observe variables that are difficult to measure directly in the system. In actual use, it is found that the anti-interference performance of ADRC declines rapidly with the increase of disturbance and input frequency, which is mainly related to the insufficient performance of traditional...

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Application Information

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IPC IPC(8): H02P21/22H02P21/05H02P27/08
CPCH02P21/05H02P21/22H02P27/08H02P2207/01
Inventor 张永昌黄朋
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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