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Fuzzy-neural global rapid terminal sliding-mode control method of photovoltaic grid-connected inverter

A terminal sliding mode and fuzzy neural technology, applied in the field of fuzzy neural network, can solve problems such as slow convergence speed, achieve the effects of small system chattering, cost saving, and enhanced system robustness

Inactive Publication Date: 2017-05-24
HOHAI UNIV CHANGZHOU
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Ordinary terminal sliding mode control has a faster convergence speed when it is far from the equilibrium point, but the convergence speed becomes slower when it is close to the equilibrium point, and the global fast terminal sliding mode control can have global rapidity

Method used

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  • Fuzzy-neural global rapid terminal sliding-mode control method of photovoltaic grid-connected inverter
  • Fuzzy-neural global rapid terminal sliding-mode control method of photovoltaic grid-connected inverter
  • Fuzzy-neural global rapid terminal sliding-mode control method of photovoltaic grid-connected inverter

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Embodiment 1

[0059] (1) According to the circuit theory, establish the circuit equations when the two sets of switch tubes are turned on separately, and use the state space averaging method to establish the average mathematical model of the inverter:

[0060]

[0061] Among them, u ac is the grid-connected voltage of the inverter, u dc is the DC side voltage, D is the switch tube S in the diagonal relationship on the inverter 1 , S 4 Duty cycle, C ac , L ac are the inverter AC side capacitance and inductance respectively, R L is the load on the AC side.

[0062] Since the inverter is affected by modeling errors and external disturbances in actual operation, the mathematical model of the photovoltaic grid-connected inverter in formula (1) needs to be corrected. The actual inverter mathematical model considering system uncertainty and external disturbance is:

[0063]

[0064] Among them, g(t) is the system uncertainty and external disturbance.

[0065] (2) Design the global fa...

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Abstract

The present invention discloses a fuzzy-neural global rapid terminal sliding-mode control method of a photovoltaic grid-connected inverter. The method comprises: establishing an inverter mathematic model, considering the interference and indeterminacy actually existed in the inverter, and correcting the inverter model. The control target of a voltage control-type grid-connected inverter is the zero error tracking of the output voltage o the inverter to the power grid reference voltage, and the fuzzy-neural global rapid terminal sliding-mode control method of the photovoltaic grid-connected inverter employs the global rapid terminal sliding-mode control strategy in order to allow the tracking errors to converge to zero in a limited time. aiming at the indeterminacy of the system, the fuzzy-neural network system is employed to perform online compensation to allow the inverter to have a certain adaptability for the external interference so as to greatly enhance the system robustness. The adaptive rule based on Lyapunov is designed to ensure the stability of the system. The fuzzy-neural global rapid terminal sliding-mode control method of the photovoltaic grid-connected inverter employs the fuzzy-neural global rapid terminal sliding-mode control strategy to control the grid-connected inverter to enhance the system robustness and reduce the buffeting.

Description

technical field [0001] The invention relates to a fuzzy neural global rapid terminal sliding mode control method for a photovoltaic grid-connected inverter, which belongs to the technical field of inverter control methods, and in particular relates to fuzzy neural network and terminal sliding mode control. Background technique [0002] With the country's strong support for the photovoltaic power generation industry, the research on photovoltaic power generation technology is becoming more and more popular. Photovoltaic power has gradually played an important role in the distribution of electric energy. Inverters are an indispensable part of photovoltaic power generation systems. Photovoltaic systems are easy to The characteristics of being affected by environmental changes put forward higher requirements for inverter control. [0003] The inverter is a power device that converts direct current into alternating current. At present, the commonly used control strategy is the cu...

Claims

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Application Information

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IPC IPC(8): G05B13/04
Inventor 朱云凯费峻涛刘倪宣吕欣欣
Owner HOHAI UNIV CHANGZHOU
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