Adaptive FPGA Based Three Phase Controller Inverter

• Published in: 2018 International Conference on Research in Intelligent and Computing in Engineering (RICE) pp. 1 - 8
• Main Authors: Saurabh Shah, Vishakha, Anil Shah, Saurabh
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2018
• Subjects: AC motors; Adaptive Neuro-Fuzzy Inference system; Brushless alternating-current (BLAC) motor; Field programmable gate array; Field programmable gate arrays; Finite state machine (FSM); Hardware; Inverters; Predictive Sliding mode controller; Supervisor; Switches; Voltage control
• DOI: 10.1109/RICE.2018.8509070

This paper proposes the Predictive sliding mode controller which is based on Adaptive Neuro-fuzzy Inference system. In this Predictive current VSS control strategy introduced to control the voltage source inverter as a system with the finite number of possible state and selecting over each sampling period and the voltage vector that minimizes the quadratic cost function. Common DSP solutions are rarely used as compared to FPGA hardware and main advantage of this method is that all the logic is executed continuously and simultaneously. This ANFIS controller introduced for considering the voltage source inverter with a finite number of possible states and selecting that possible state speed can be controlled. Brushless ac motor can provide good transient response and this proposed control method is applicable for all types of ac loads as well as ac motors. The result analyzed by design switching based current controller for a three phase load driven by a power inverter and speed controller for BLAC motor by using Xilinx Spartan 3E FPGA.