Modified Predictive Direct Torque Control ASIC with Multistage Hysteresis and Fuzzy Controller for a Three-Phase Induction Motor Drive

Abstract

This paper proposes a modified predictive direct torque control (MPDTC) application-specific integrated circuit (ASIC) with multistage hysteresis and fuzzy controller to address the ripple problem of hysteresis controllers and to have a low power consumption chip. The proposed MPDTC ASIC calculates the stator’s magnetic flux and torque by detecting three-phase currents, three-phase voltages, and the rotor speed. Moreover, it eliminates large ripples in the torque and flux by passing through the modified discrete multiple-voltage vector (MDMVV), and four voltage vectors were obtained on the basis of the calculated flux and torque in a cycle. In addition, the speed error was converted into a torque command by using the fuzzy PID controller, and rounding-off calculation was employed to decrease the calculation error of the composite flux. The proposed MDMVV switching table provides 294 combined voltage vectors to the following inverter. The proposed MPDTC scheme generates four voltage vectors in a cycle that can quickly achieve DTC function. The Verilog hardware description language (HDL) was used to implement the hardware architecture, and an ASIC was fabricated with a TSMC 0.18 μm 1P6M CMOS process by using a cell-based design method. Measurement results revealed that the proposed MPDTC ASIC performed with operating frequency, sampling rate, and dead time of 10 MHz, 100 kS/s, and 100 ns, respectively, at a supply voltage of 1.8 V. The power consumption and chip area of the circuit were 2.457 mW and 1.193 mm × 1.190 mm, respectively. The proposed MPDTC ASIC occupied a smaller chip area and exhibited a lower power consumption than the conventional DTC system did in the adopted FPGA development board. The robustness and convenience of the proposed MPDTC ASIC are especially advantageous.

Predictive direct power control with phase‐locked loop technique of three‐level neutral point clamped inverter based shunt active power filter for power quality improvement

“…Another new strategy was proposed in Sung et al, 111 where an application‐specific integrated circuit (ASIC) for model predictive DTC (MPDTC) with multi‐stage hysteresis and FL controller was developed to address the HCs ripple problem and obtain a low power consumption chip. The proposed strategy calculates the magnetic flux and torque of the stator by detecting the three‐phase currents, the three‐phase voltages, and the rotor speed.…”

“…The proposed strategy calculates the magnetic flux and torque of the stator by detecting the three‐phase currents, the three‐phase voltages, and the rotor speed. The designed strategy in Sung et al 111 aims to eliminate the large ripples in torque and flux by passing through a separate rectified multi‐voltage conductor. In addition, the velocity error was converted into a torque order using an FL‐PI controller, and approximation calculation was used to reduce the compound flow calculation error.…”

Enhancement of Direct Power Control by Using Artificial Neural Network for a Doubly Fed Induction Generator-Based WECS: An Experimental Validation

“…This control has several advantages, such as simplicity, durability, fast response dynamic, and ease of implementation [27]. In DTC strategy, there is no need for the blocks' current pulse width modulation (PWM) technique or internal current regulation loops, no requirements for coordinate transformation, and less machine parameter dependency, making the system more robust [28][29][30]. Compared to the FOC strategy, DTC provides better results in terms of energy quality and ripple value of current/power of the DFIG-WTs [31].…”