Dynamic sliding mode voltage control method of dc-dc boost converter based on interval type-two adaptive fuzzy neural network

An interval-type two fuzzy and self-adaptive fuzzy technology, which is applied in control/regulation systems, output power conversion devices, DC power input conversion to DC power output, etc., can solve the fuzzy neural network's autonomous learning ability and lack of robustness And other issues

Active Publication Date: 2020-12-25
HARBIN INST OF TECH +2
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  • Abstract
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Problems solved by technology

[0005] The present invention is to solve the problem that the fuzzy neural network-based sliding mode control of the DC-DC boost converter in the prior art lacks the robustness to complex uncertainties and the autonomous learning ability of the fuzzy neural network

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  • Dynamic sliding mode voltage control method of dc-dc boost converter based on interval type-two adaptive fuzzy neural network
  • Dynamic sliding mode voltage control method of dc-dc boost converter based on interval type-two adaptive fuzzy neural network
  • Dynamic sliding mode voltage control method of dc-dc boost converter based on interval type-two adaptive fuzzy neural network

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Embodiment 1

[0078] figure 1 It shows the topological structure diagram of the DC-DC boost converter in the present invention in the first embodiment. In this topology, in order to obtain an input voltage higher than Vi DC voltage V o , the present invention inserts an inductance L at the front end of the converter switch S. When the switch S is turned off, the counter electromotive force generated by the inductance coil when its current decreases is added in series with the power supply voltage and sent to the load resistance R, and the load resistance can be to obtain an input voltage higher than V i DC voltage V o , figure 1 Under this principle, a DC-DC boost converter is composed of a fully-controlled switch S and a freewheeling diode D plus inductors and capacitors. The system parameters are shown in Table 1. The DC-DC boost converter circuit The switching state depends on the set PWM signal value u PWM :

[0079] Table 1

[0080]

[0081]

[0082] The method of the pres...

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Abstract

The invention relates to a dynamic sliding mode voltage control method of a DC-DC step-up converter based on an interval type two self-adaptive fuzzy neural network, and relates to the technical field of power electronic control. The invention aims to solve the problem that the fuzzy neural network-based sliding mode control of the DC-DC boost converter in the prior art lacks robustness to complex uncertainties and the fuzzy neural network autonomous learning ability. Obtain the operating parameters of the DC-DC boost converter to establish a dynamic model of the DC-DC boost converter; adopt a tracking error dynamic system that contains a dynamic sliding mode control law to track the output voltage in the dynamic model; according to the tracking error dynamic system The sliding mode surface is designed to obtain the dynamic equivalent control law, and the dynamic sliding mode controller based on the interval type II adaptive fuzzy neural network is constructed according to the dynamic equivalent control law; the dynamic sliding mode control law is controlled by the controller to make the tracking error dynamic The output voltage in the system is equal to the desired voltage. It is used to control the output voltage.

Description

technical field [0001] The invention relates to a dynamic sliding mode voltage control method of a DC-DC step-up converter based on an interval type two self-adaptive fuzzy neural network, and belongs to the technical field of power electronic control. Background technique [0002] DC-DC (DC-DC) boost converter plays a very important role in voltage regulation technology, and is widely used in uninterruptible power supplies, communication equipment, DC motor drives, power grids and clean energy systems, etc. Setting DC-DC converters at appropriate locations in the power system and performing proper real-time control can improve the ultimate transmission power capability of the power transmission system, while improving the technical characteristics, safety, reliability and economy of power system operation. At present, control algorithms based on fuzzy control, predictive control, sliding mode control and adaptive control technology are research hotspots in converter voltage...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02M3/158
CPCH02M3/158H02M1/0003
Inventor 刘健行吴立刚刘发刚孙光辉房淑贤王家慧
Owner HARBIN INST OF TECH
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