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Dynamic sliding mode voltage control method for DC-DC boost converter based on interval type-II adaptive fuzzy neural network

A voltage control method, interval-type two fuzzy technology, applied in control/regulation system, output power conversion device, DC power input conversion to DC power output, etc., can solve the problem of fuzzy neural network self-learning ability and lack of robustness And other issues

Active Publication Date: 2019-07-23
HARBIN INST OF TECH +2
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  • Abstract
  • Description
  • Claims
  • Application Information

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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

Method used

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  • Dynamic sliding mode voltage control method for DC-DC boost converter based on interval type-II adaptive fuzzy neural network
  • Dynamic sliding mode voltage control method for DC-DC boost converter based on interval type-II adaptive fuzzy neural network
  • Dynamic sliding mode voltage control method for DC-DC boost converter based on interval type-II 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 discloses a dynamic sliding mode voltage control method for a DC-DC boost converter based on an interval type-II adaptive fuzzy neural network, and relates to the technical field of power electronic control. The invention aims to solve the problem sliding mode control on the DC-DC boost converter based on a fuzzy neural network lacks robustness to complex uncertainty and autonomous learning capability of the fuzzy neural network in the prior art. The method comprises the steps of obtaining operating parameters of the DC-DC boost converter, and establishing a dynamic model of theDC-DC boost converter; adopting a tracking error dynamic system containing a dynamic sliding mode control law to track the output voltage in the dynamic model; designing a sliding mode surface according to the tracking error dynamic system to obtain a dynamic equivalent control law, and constructing a dynamic sliding mode controller based on the interval type-II adaptive fuzzy neural network according to the dynamic equivalent control law; and controlling the dynamic sliding mode control law through the controller to enable the output voltage in the tracking error dynamic system to be equal tothe expected voltage. The control method is used for controlling 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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IPC IPC(8): H02M3/158
CPCH02M3/158H02M1/0003
Inventor 刘健行吴立刚孙光辉王家慧
Owner HARBIN INST OF TECH
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