Three-phase rectification control method based on improved adaptive fuzzy neural network
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- NORTHEASTERN UNIV
- Publication Date
- 2019-12-20
- Estimated Expiration
- Not applicable · inactive patent
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Abstract
Description
technical field
[0001] The invention relates to the technical field of power electronics, in particular to an improved self-adaptive fuzzy neural network-based three-phase rectification control method. Background technique
[0002] As a part of the power conversion circuit, the rectifier circuit occupies an indispensable position in the circuit conversion. Three-phase rectifiers are widely used in energy storage systems, electric vehicle charging systems, data and communication systems, microgrids and renewable energy systems. . The rectifier circuit needs to meet two conditions: first, to realize the synchronization of the AC side current and the grid voltage to reduce the damage to the grid. Second, it has a controllable DC output voltage. These two goals can be achieved through different control methods, which are mainly divided into voltage-oriented control and power control. Voltage-oriented control is to use a proportional-integral-derivative (PID) controller to cont...