Error Correction Method of Predictive Control Based on Cascaded Multilevel Inverter

Abstract

The present invention provides a predictive control error correction method based on a cascaded multilevel inverter, comprising the following steps: Step S1, establishing a mathematical model based on the topology structure of the cascaded multilevel inverter; and establishing a discretization Prediction model; the discretized prediction model includes a capacitance voltage prediction model and a current prediction model; step S2, a capacitance voltage prediction error correction model is established; the capacitance voltage prediction error includes capacitance voltage prediction error caused by capacitance parameter mismatch, and model discretization. The capacitance voltage prediction error and the capacitance voltage prediction error caused by sampling; step S3, establish a current prediction error correction model; the current prediction error includes the current prediction error caused by the mismatch of capacitance parameters, the current prediction error caused by model discretization, and the current prediction error caused by sampling. Current prediction error; Step S4, obtain the solution of the capacitance voltage prediction error; Step S5, obtain the solution of the current prediction error. The present invention can accomplish error correction.

Description

technical field [0001] The invention relates to a control method, in particular to a method for correcting prediction control errors based on cascaded multilevel inverters. Background technique [0002] Cascaded multilevel inverters have always been favored in medium-high voltage and high-power applications because of their simple structure, easy modular design, high-quality output waveforms, and easy implementation of redundancy. In industrial applications, triangular carrier PWM (TCPWM) and space vector PWM (SVPWM) methods are often used to control multilevel inverters. However, with the development of microprocessors, more advanced model predictive control (Model predictive control, MPC) It is possible to apply it in cascaded multilevel inverters. [0003] Compared with the traditional PI control method, model predictive control has higher dynamic performance and stronger robustness. Especially for multi-variable and multi-constrained systems such as multi-level topolog...

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Problems solved by technology

The main problem with this type of solution is that it requires multiple or multiple cycles of calculation, and the process is complicated

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