LADRC control method and system based on DAB converter

Abstract

The invention discloses an LADRC control method based on a DAB converter, and the method comprises the steps: carrying out the LADRC control through a DAB converter linear large signal model with a unit value of transmission power as a control quantity; wherein the DAB converter linear large signal model is based on a single-side asymmetric duty ratio modulation method, and the output voltage is controlled by directly controlling the scaled transmission power. According to the control method provided by the invention, on the premise of ensuring the system performance, the traditional linear active interference suppression controller is improved, and the parameter setting process is optimized. And finally, verification is carried out through a simulation platform, the overall efficiency in the full power range is remarkably improved, the proposed control has better robustness than the traditional PI control, and the problems of excessive parameters and difficult value taking in the design of the traditional ADRC are greatly simplified.

Description

technical field [0001] The invention relates to the technical field of signal modulation, in particular to a DAB converter-based LADRC control method and system. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] The single-phase phase-shift (SPS) modulation strategy is the simplest modulation method for DAB converters, and the magnitude and direction of the transmitted power can be adjusted by controlling the phase-shift angle between the two H-bridges. However, when the input and output voltage amplitudes do not match, soft switching will be difficult to achieve, and the return power and current stress will increase sharply, which will cause very large switching losses and reduce the efficiency of the DAB converter. Therefore, in recent years, many scholars have carried out a lot of research on this problem. The relevant research has propo...

AI Technical Summary

Problems solved by technology

However, the adaptive algorithm needs a sufficiently accurate control object model, which makes it very troublesome to determine the parameters of the controller; the application of fuzzy control will bring jitter and vibration problems to the circuit, which will affect the stable output of the circuit; the complex structure of neural network control makes Its controller design is cumbersome

Therefore, all overriding control strategies have some disadvantages in practical application

And the traditional active disturbance rejection controller uses a nonlinear function with many parameters, complicated adjustment and low transmission efficiency

Images