FPGA implementation of a library of adaptive control laws for PMSM

Abstract

High performance motor controllers usually require complex operations and long computation time, which makes the implementation task more complex. FPGA (Field Programmable Gate Array) implementation of controllers, including intelligent controllers, has many advantages: re-programmable, convenient software tools, high efficiency and very high significant integration density. This paper presents implementation on FPGA of a library of adaptive fuzzy logic controllers for Permanent Magnet Synchronous Machines using Hardware Description Language VHDL and its co-simulation with Simulink™/Matlab®. The synthesis results show that this implementation is efficient in resource usage.