Abstract

This paper proposes a modified predictive direct torque control (PDTC) application-specific integrated circuit (ASIC) of a motor drive with a fuzzy controller for eliminating sampling and calculating delay times in hysteresis controllers. These delay times degrade the control quality and increase both torque and flux ripples in a motor drive. The proposed fuzzy PDTC ASIC calculates the stator’s magnetic flux and torque by detecting the three-phase current, three-phase voltage, and rotor speed, and eliminates the ripples in the torque and flux by using a fuzzy controller and predictive scheme. The Verilog hardware description language was used to implement the hardware architecture, and the ASIC was fabricated by the Taiwan Semiconductor Manufacturing Company through a 0.18-μm 1P6M CMOS process that involved a cell-based design method. The measurements revealed that the proposed fuzzy PDTC ASIC of the three-phase induction motor yielded a test coverage of 96.03%, fault coverage of 95.06%, chip area of 1.81 × 1.81 mm2, and power consumption of 296 mW, at an operating frequency of 50 MHz and a supply voltage of 1.8 V.

Highlights

  • The direct torque control (DTC) algorithm is based on the error between the reference and estimated values of torque and flux

  • Studies have reported that the model predictive direct torque control (MPDTC) algorithm can achieve an average inverter switching frequency reduction of 16.5% [4,5]

  • We present an application-specific integrated circuit (ASIC) capable of fuzzy control and a predictive direct torque control (PDTC) for induction motor (IM) drives

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Summary

Introduction

The direct torque control (DTC) algorithm is based on the error between the reference and estimated values of torque and flux. The model predictive direct torque control (MPDTC) algorithm is used to maintain the motor torque, stator flux, and the inverter’s neutral point potential within the given hysteresis bounds by reducing the average switching frequency of the inverter, unlike the process in the conventional DTC method. A low switching frequency is used in an inverter to achieve a rapid dynamic response This is achieved by rapidly equaling the torque and flux to the reference values. To achieve a high IM control performance, decrease the variation in the torque and flux by applying the fuzzy theory, and lower the average inverter switching frequency with respect to the conventional DTC algorithm, a combination of fuzzy control and a predictive direct torque control (PDTC) algorithm has been proposed.

Proposed Topology of Fuzzy PDTC ASIC
Flux and Torque Calculations
Angle Selection
Findings
Conclusions
Full Text
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