Hardware Implementation of a Predictive DTC-SVM with a Sliding Mode Observer of an Induction Motor on the FPGA

The first objective of this research is to present an improved Direct Torque Control based on the Space Vector Modulation (DTC-SVM) and a Sliding Mode Observer (SMO). The disadvantages of the conventional Direct Torque Control (DTC) are the high ripples for the electromagnetic torque and the stator flux, as well as the distortions of the stator current. To solve these problems, we have used the approach of the (DTC) based on the space vector modulation. Also, one of the major problems for controlling induction machines is the lack of knowledge about the real values of some parameters, such as the stator resistance which is subjected to large variations during the operation. To follow the change in the internal state of the system and the stator resistance we use a technique based on the SMO. This technique overcomes the limitations of the open-loop estimator, like the adaptation of the variation of the stator resistance at a low speed, the correction of measurement errors of the stator currents, and the estimation errors of the stator flux. The second objective is to propose a novel method for implementing a DTC-SVM with an SMO on the Field Programmable Gate Array (FPGA). The advantages of this method are not only the simulation, control and testing of the correct operation, but also the development of a discrete algorithm and the generation of the Very-high-speed integrated circuits Hardware Description Language (VHDL) code which can be implemented on the FPGA. The performances of the DTC-SVM with an SMO are evaluated by digital simulation and developed to be implemented on Xilinx Virtex-V FPGA with an xc5vfx70t-3ff1136 package using the toolbox Xilinx system generator. Key-Words: Direct Torque Control (DTC), predictive controller, Space Vector Modulation (SVM), induction motor, Sliding Mode Observer (SMO), Xilinx System Generator (XSG), Field Programmable Gate Array (FPGA).