Study on Sequential Model Predictive Control for Packed U Cell (PUC) Grid Connected Inverter

This work presents a Sequential Model Predictive Voltage Control of packed u cell (PUC) for grid connected applications. PUC inverter has become a research of interest due to the simultaneous advantages of flying capacitor and cascaded H bridge with less component count. Grid connected PUC provides the challenge of simultaneous control of link voltage and load current. Model Predictive Control provides superior multi objective, multi constraint handling and simplicity in implementation. The principle of model predictive control is about minimizing the cost function to get an optimized switching vector for every sample. Sequential model predictive control is a weight factor less algorithm to simultaneously control any number of control variables. However, the performance highly depends on the priority and the switch redundancy of the power converter. Performance analysis of the sequential MPC under various operating conditions has been presented for a PUC inverter. MATLAB^®/ SimPowerSystems has been used to perform the simulations and performance has been compared with the existing weight factors based model predictive control algorithm.