Quantization problem analysis on ASIC-based direct torque control of an induction machine

Latest developments in digital intelligent motion, as digital signal processors (DSPs), has strongly improved AC motor control performances. Application-specific-integrated circuit (ASIC) technology has changed the need for rapid process and low-cost processor. However, new technological problems appeared, requiring digital properties which need considering, such as quantization, sampling, word length and data types. The authors of this paper propose to study the quantization problems on ASIC-based direct torque control of an induction machine. They present a high level behavior model of the specific circuit and analyze the torque quantization errors. Finally, simulation results illustrate quantization influences on control performances with different data type solutions.