Finite control set model predictive control approach of nine switch inverter-based drive systems: Design, analysis,...

Area of Science:

• Electrical Engineering
• Control Systems

Background:

• Nine-Switch Inverters (NSI) offer versatile power conversion for AC drive systems.
• Controlling multiple or separate AC loads with NSIs presents unique challenges in maintaining stability and performance.

Purpose of the Study:

• To develop and evaluate novel Finite Control Set Model Predictive Control (FCS-MPC) strategies for NSI-based AC drives.
• To enable flexible dual-output mode operation for independent load control and robust six-phase mode operation for single loads.

Main Methods:

• Implementation of three distinct FCS-MPC strategies tailored for NSI operation.
• Development of strategies for dual-output mode, six-phase mode, and multiple induction machine control.
• Utilizing Field Programmable Gate Arrays (FPGA) for real-time implementation and testing.

Main Results:

• Demonstrated flexible and non-interactive control of separate AC loads in dual-output mode.
• Achieved robust control of six-phase load currents.
• Validated secure converter operation through experimental and simulation tests for all proposed strategies.

Conclusions:

• The proposed FCS-MPC strategies provide effective and secure control for Nine-Switch Inverter-based AC drive systems.
• The NSI, with the presented control methods, proves capable of handling diverse load configurations including dual-output and six-phase operations.