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: reprogrammable, convenient software tools, high efficiency and very high significant integration density. This paper presents implementation on FPGA of an adaptive fuzzy logic control of Permanent Magnet Synchronous Machines (PMSMs) using Hardware Description Language VHDL and its co-simulation with Simulink™/Matlab®. The synthesis results show that this implementation is efficient in resource usage.

Additional Metadata
Keywords Adaptive fuzzy logic, FPGA, Implementation, PMSM, VHDL
Persistent URL dx.doi.org/10.1049/cp.2014.0510
Conference 7th IET International Conference on Power Electronics, Machines and Drives, PEMD 2014
Boukaka, S. (Salim), Teiar, H. (Hakim), Chaoui, H, & Sicard, P. (Pierre). (2014). FPGA implementation of an adaptive fuzzy logic controller for PMSM. In IET Conference Publications. doi:10.1049/cp.2014.0510