1. Multifactorial Prediction Errors Analysis and a Feedback Self-Correction on Model Predictive Control for the Three-Phase Inverter
- Author
-
Wang Yingjie, Chao Wang, Bai Feiying, and Zeng Wei
- Subjects
Computer science ,020208 electrical & electronic engineering ,Sampling error ,02 engineering and technology ,Discretization error ,Three phase inverter ,Inductance ,Quantization (physics) ,Model predictive control ,Control and Systems Engineering ,Control theory ,Robustness (computer science) ,0202 electrical engineering, electronic engineering, information engineering ,Inverter ,Electrical and Electronic Engineering ,Self correction - Abstract
To solve the problem of poor robustness due to the high dependence of model predictive control (MPC) on the three-phase inverter model, the influence mechanism of the mismatch of circuit parameters R and L , the model discretization error, and sampling errors on MPC prediction error are analyzed in this paper. A feedback self-correction is proposed, which the next current errors are predicted and used to modify the model, based on the previous prediction errors. This proposed method involves simple structure and a small amount of calculation. Steady-state effects of the proposed method are quantized to prove a good inhibitory ability on multifactorial prediction errors. Finally, experimental results in a three-phase inverter are presented to support the theoretical analysis and demonstrate the feasibility of the proposed method.
- Published
- 2019