Development of FPGA based control architecture for PMSM drives

University of Technology Sydney. Faculty of Engineering and Information Technology.The rapid advancement of the very large scale integration (VLSI) technology and electronic design automation techniques in recent years has made a significant impact on the development of complex and compact high performance control architecture for industrial motion systems. Specific hardware with the field programmable gate array (FPGA) technology is now considered as a promising solution in order to make use of the reliability and versatility of controllers. Indeed, 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 thesis aims to provide a proof-of-concept for the control-system-on-chip and a prototype for a fully-implemented FPGA control architecture for permanent magnet synchronous motor (PMSM) drives. In this thesis, a special focus is given on analytical effects, design procedure, and control performance enhancement for PMSM drives under sensor/sensorless vector control using a number of control techniques. The control schemes include FPGA-based intelligent control and robust cascade control for single axis and multiple axis tracking with PMSMs. An important contribution of this thesis rests with a convincing demonstration of high performance estimation schemes, using sliding mode observers and extended Kalman filters, in terms of accuracy and robustness against noisy and/or perturbed currents for sensorless PMSM control based on the FPGA technology. In addition, a sequential finite state machine is developed in this work to result in less logic gate resources, leading to a faster processing time. Significance of this thesis contribution includes in providing a feasible and effective solution for the implementation of complex control strategies to fully exploit the FPGA advantages in power electronics and drive applications

DESIGN OF FLOATING POINT PI CURRENT CONTROLLER FOR SPEED CONTROL OF IPMSM USING FPGA

The PI Controller can be considered as the essential part for efficient Speed Control of the Interior Permanent Magnet Synchronous Motor. In digital control, two platforms exist to implement this controller, namely DSP and FPGA. The FPGA is more preferred than the DSP due to the concurrent facility. To obtain the full facilities of the digital control and for high accuracy speed control of motors, floating point PI Controller should be used instead of the fixed point. The problem of the FPGA is that it is programmed using VHDL or Verilog which deals only with fixed-point representation. This paper shows a full design of floating-point PI Controller using Altera DE2i-150 platform and Altera Megafunctions. The results are proven using two simulation platforms ModelSim-Altera Starter Edition 15.0 and Matlab Simulink

FPGA-based fuzzy sliding mode control for sensorless PMSM drive

This paper presents an observer-based fuzzy sliding mode controller for sensorless Permanent Magnet Synchronous Motor (PMSM) drive based on the Field Programmable Gate Array (FPGA) technology. For enhancement of robustness, a sliding mode observer (SMO) is proposed to estimate first the current and back electromotive force (EMF), then to derive the flux angle. These estimated values together with the computed rotor speed of the motor are fed back for the control purpose in both the current loop and the speed loop. To cope with dynamic uncertainty and external load, a fuzzy sliding mode control (FSMC) is designed by incorporating a fuzzy inference mechanism into the proposed sliding mode control scheme to tune the discontinunous gain in the speed control loop. An FPGA chip is designed for implementing the vector-controlled current loop as well as the speed control loop. The very high speed integrated circuit-hardware description language (VHDL) is adopted to describe advantageous behaviors of the proposed control system. By integrating advantages of the sensorless and fuzzy sliding mode control techniques into the speed controller of a PMSM drive, its performance can be substantially enhanced while improving cost-effectiveness and reliability. The validity of the proposed approach is verified through results based on the VDHL Modelsim and Simulink co-simulation method. © 2012 IEEE