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High-voltage inverter adaptive control system based on neural network and construction method thereof

A technology of adaptive control and high-voltage frequency converter, applied in the field of control, can solve problems such as performance degradation, poor stability, and reduced maximum output torque, so as to achieve good control, ensure stability and control accuracy.

Inactive Publication Date: 2013-05-15
SHENZHEN AMBITION ELECTRONICS
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AI Technical Summary

Problems solved by technology

At present, most of the high-voltage inverters sold in the market adopt traditional control methods. However, at low frequencies, due to the low output voltage, the torque is significantly affected by the voltage drop of the stator resistance, which reduces the maximum output torque.
In addition, its mechanical characteristics are not as hard as DC motors after all, and the dynamic torque capability and static speed regulation performance are not satisfactory, and the system performance is not high, the control curve will change with the load change, the torque response is slow, and the motor turns The torque utilization rate is not high, and the performance decreases and the stability deteriorates due to the existence of the stator resistance and the dead zone effect of the inverter at low speeds.

Method used

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  • High-voltage inverter adaptive control system based on neural network and construction method thereof

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Embodiment Construction

[0039] The technical solutions in the embodiments will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Similar component numbers in the accompanying drawings represent similar components. Obviously, the embodiments to be described below are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0040] First, please refer to figure 1The neural network-based high-voltage inverter adaptive control system 10 provided in this embodiment includes a power supply module 11 , a frequency conversion module 12 , a motor 13 , a detection module 14 and a control module 15 . The power supply module 11 is connected to the frequency conversion module 12 to provide a fi...

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Abstract

The invention discloses a high-voltage inverter adaptive control system based on a neural network. The high-voltage inverter adaptive control system based on the neural network comprises a power source module, a frequency conversion module, a motor, a detection module and a control module. The frequency conversion module is connected between the power source module and the motor. The control module comprises an operation display circuit, a main control circuit and a base drive circuit. The operation display circuit is connected with the main control circuit for operation of a user. The main control circuit is connected with the frequency conversion module and the motor through the detection module to detect feedback signals of the frequency conversion module and the motor. The main control circuit comprises a proportion integration differentiation (PID) controller and the neural network. Output of the PID controller is adjusted according to the feedback signal by the neural network so that intelligent constant voltage frequency ratio control or electric current control performed to the frequency conversion module is achieved. According to intelligent characteristics of self-learning, self-adaptation and the like of the neural network, good control of a complex nonlinear system is realized so that stability and control accuracy of the control system are guaranteed. Meanwhile, the invention further discloses a construction method of the high-voltage inverter adaptive control system based on the neural network.

Description

technical field [0001] The invention relates to the technical field of control, and more particularly to a high-voltage frequency converter self-adaptive control system based on a neural network and a construction method thereof. Background technique [0002] With the rapid development of modern power electronic technology and computer control technology, the technical revolution of electric drive has been promoted. It has become a development trend that AC speed regulation replaces DC speed regulation, and computer digital control replaces analog control. Frequency conversion speed regulation of AC motor is a main means to save electric energy, improve production process, improve product quality and improve operating environment. Variable frequency speed regulation is recognized as the most promising speed regulation method at home and abroad due to its high efficiency, high power factor, and excellent speed regulation and braking performance. At present, most of the high...

Claims

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Application Information

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IPC IPC(8): H02M5/00H02P27/04H02P27/06
Inventor 陈鹏程
Owner SHENZHEN AMBITION ELECTRONICS
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