FPGA-BASED CONTROL ARCHITECTURE FOR MULTIPLE-AXIS MOTION SYSTEM

I received PhD degree in 2015 at the School of Electrical, Mechanical and Mechatronic Systems, University of Technology Sydney, Australia. My research interests are in the areas of motion control, FPGA-based control and estimation for motor drives applications.

FPGAs have been successfully used in many control applications such as power converter control and electrical machines control. This is because such an FPGA-based implementation can offer an effective reprogrammable capability and overcome disadvantages of microprocessor-based or digital signal processor-based embedded systems. This book aims to provide a proof-of-concept for the control-system-on-chip and prototype for a fully-implemented FPGA control architecture for permanent magnet synchronous motor (PMSM) drives. In this book, a special focus is given on analytical effects, design procedure, and control performance enhancement for PMSM drive sunder vector control using intelligent control technique. The control schemes include FPGA-based intelligent control and robust cascade control for single axis and multiple axis tracking with PMSMs. In addition, a sequential FSM is developed in this work to result in less logic gate resources, leading to a faster processing time. Significance of this book contribution includes in providing a feasible and effective solution for the implementation of complex control strategies to fully exploit the FPGA advantages in drive applications.