Model-free prediction current control method based on super-local model

A local model and current prediction technology, applied in the field of super-local model design strategy, can solve the problems of optimal voltage vector deviation, affecting the overall control performance of the motor, etc., and achieve the effect of improving robustness

Inactive Publication Date: 2020-06-19
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0003] However, MPC uses a large number of motor parameters for calculation in the prediction process and control process. When the motor is subjected to external distu

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  • Model-free prediction current control method based on super-local model
  • Model-free prediction current control method based on super-local model
  • Model-free prediction current control method based on super-local model

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Embodiment Construction

[0040] The following examples can make those skilled in the art understand the present invention more fully, but do not limit the present invention in any way. The experimental methods in the following examples are conventional methods unless otherwise specified.

[0041] figure 1 It is a model-free predictive current control block diagram. According to the input and output of the controlled system, a hyperlocal model of the controlled system is established, and the superlocal model is estimated by differential algebra. In this process, only the input and output data of the controlled system are used without any Parameter information, so it has strong robustness, and combined with indirect field oriented control to realize the model-free current control of asynchronous motor, so as to improve the robustness of MPC to motor parameters.

[0042] Step 1: Simplify the asynchronous motor into a single-input single-output (SISO) system, which is approximately described by ordinary ...

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Abstract

The invention provides a model-free prediction current control method based on a hyper-local model, and the method comprises the steps: A, employing indirect magnetic field directional control according to the hyper-local model of an asynchronous motor, and simplifying current control of a hyper-local model of the asynchronous motor into a first-order system through complex vector description; B,according to the simplified first-order system in the step A, combining the first-order system with the intelligent PI to obtain the input of a closed-loop system; C, estimating F in a short time by adopting a differential algebraic method, wherein F is a variable containing structural information of the system, an unknown part of the system and interference; and D, combining super-local model-free control with asynchronous motor indirect magnetic field directional prediction current control, and solving an estimated value of F according to the complex vector mathematical model and the super-local model under the two-phase static coordinate system of the asynchronous motor. According to the method, the robustness of model predictive control (MPC) to motor parameters is greatly improved.

Description

technical field [0001] The invention relates to a hyperlocal model design strategy for an asynchronous motor, in particular to a model-free predictive current control method based on a hyperlocal model. Background technique [0002] Model predictive control (MPC) is a kind of computer control algorithm that appeared in the field of industrial engineering control in the late 1970s, and has been widely used in process control industries such as chemical industry. MPC is a control strategy that has emerged in recent years. Compared with vector control (VOC), it does not require current inner loop and parameter setting, and directly generates inverter drive signals without pulse modulation. It is easy to deal with system constraints or add other control objectives. It has the advantages of simple structure, fast dynamic response and easy expansion. Compared with direct torque control (DTC), MPC optimizes and selects the best voltage vector by predicting the state of the motor, ...

Claims

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Application Information

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IPC IPC(8): H02P21/00H02P21/22
CPCH02P21/0003H02P21/22
Inventor 张永昌黄朋张博越
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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