Composite adaptive model prediction control method of Boost converter

Abstract

The invention provides a composite adaptive model prediction control method of a Boost converter. The method includes: establishing a continuous model according to an equivalent circuit of the Boost converter in different switching states, performing discretization on the continuous model, and obtaining a discrete model of the Boost converter; designing a Luenberger observer by regarding a circuitoutput voltage and an inductive current as quantities of state based on the discrete model of the Boost converter, and obtaining observed values of an inductive resistance and a load resistance; establishing a controller of the Boost converter, and regarding a PI controller and a feedforward compensator based on the discrete model as an outer loop; regarding model prediction control as an inner loop; forming a value function based on the square of the difference between an inductive current reference value generated by the outer loop and an inductive current predicted value of the inner loop;and selecting an optimal switching state through minimization of the value function. According to the method, prediction results of different switching states are compared through the value functionto obtain the optimal switching state and realize tracking control of current and voltage so that stabilization can be rapidly recovered from disturbance.

Description

technical field [0001] The invention belongs to the field of power electronic converter control, in particular to a composite adaptive model predictive control method of a boost converter. Background technique [0002] With the improvement and improvement of semiconductor devices and computer technology, power electronics technology has developed rapidly. As an important part of power electronic converters, boost converters have the advantages of simple structure and flexible boost control of input voltage. They are widely used in DC motor drives, hybrid vehicles and photovoltaic power generation. Obtaining the expected stable output voltage by generating the corresponding switching signal is an important goal of the boost converter control, and a good dynamic response is also an important indicator of the control effect. Control-oriented modeling and model-based control have developed rapidly in recent years, but in practical applications, the model mismatch caused by para...

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Problems solved by technology

[0004] Kim et al. (Kim, Seok-Kyoon, et al. A stabilizing model predictive controller for voltage regulation of a dc / dc boost converter [J], IEEE Transactions on Control Systems Technology, 2014, 22(5): 2016-2023.) put the model As the inner loop controller of cascade control, predictive control shows a better control effect compared with the cascade control of the traditional PI structure, but its dynamic response time is affected by the PI controller of the outer loop to a certain extent.

In addition, when using model predictive control to control the Boost converter, due to the inaccurate structure of the model, there will be a certain steady-state error between the output value and the reference value

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