Global sliding mode control method for active power filter based on regression neural network of double hidden layer

A regression neural network, power filter technology, applied in the field of global sliding mode control of active power filter based on double hidden layer regression neural network, can solve the problems of inconvenience, low robustness, system instability and so on

Active Publication Date: 2018-12-28
HOHAI UNIV CHANGZHOU
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Problems solved by technology

However, the robustness of adaptive control to external disturbances is very low, and it is easy to make the system unstable.
[0004] This shows that above-mentioned existing active power filter obviously still has inconvenience and defective in use,

Method used

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  • Global sliding mode control method for active power filter based on regression neural network of double hidden layer
  • Global sliding mode control method for active power filter based on regression neural network of double hidden layer
  • Global sliding mode control method for active power filter based on regression neural network of double hidden layer

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[0090] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to more clearly illustrate the technical solutions of the present invention, but cannot limit the protection scope of the present invention with this.

[0091] Such as figure 1 is the basic circuit topology diagram of the three-phase three-wire parallel voltage-type active power filter, v s1 ,v s2 ,v s3 is the grid voltage, i s1 ,i s2 ,i s3 is the supply current, i L1 ,i L2 ,i L3 is the load current, v 1 ,v 2 ,v 3 is the voltage at the common connection point, i 1 ,i 2 ,i 3 is the filter output compensation current, C is the DC side capacitance, v dc is the DC side capacitor voltage, i dc is the DC side capacitor voltage, L c is the AC side inductance, R c is the equivalent resistance.

[0092] The values ​​of the center vector and the base width in the two hidden layers of the fully-adjusted regression neural netwo...

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Abstract

The invention discloses a global sliding mode control method for an active power filter based on a regression neural network of a double hidden layer, characterized in that the method comprises the following steps: 1) establishing a mathematical model of the active power filter; 2) establishing a global sliding mode controller for the active power filter based on the regression neural network of the double hidden layer, designing a control rule which is used as a control input for the active power filter; and 3) designing an adaptive rule, and verifying the stability of the global sliding modecontroller of the active power filter based on the regression neural network of the double hidden layer based on the Lyapunov function theory. The global sliding mode control method for the active power filter based on the regression neural network of the double hidden layer has advantages of: improving the approximation accuracy and generalization ability of the network, reducing the number of network parameters and weights, speeding up the network training speed; being able to store more information; having a better approximation effect; and being able to improve the compensation current tracking accuracy and system robustness of the active power filter system in the presence of parameter perturbation and external interference.

Description

technical field [0001] The invention relates to a control method of an active power filter, in particular to a global sliding mode control method of an active power filter based on a double-hidden layer regression neural network. Background technique [0002] With the popularization and application of modern power electronic technology, there are more and more various power electronic devices, harmonics, reactive power, unbalance, etc. have had a great impact on the power system, seriously affecting the quality of power supply, reducing the power generation The working performance and service life of equipment and electrical equipment, and even endanger the safety of the power system. Currently, external filters are mainly used for treatment. Filters are divided into passive filters and active filters. Since the passive filter can only compensate specific harmonics and other defects, the current research on the control of electric energy problems mainly focuses on the activ...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 储云迪费峻涛王欢冯治琳
Owner HOHAI UNIV CHANGZHOU
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