Recent Achievements in Model Predictive Control Techniques for Industrial Motor: A Comprehensive State-of-the-Art

Elmorshedy, Mahmoud F.; Xu, Wei; El-Sousy, Fayez F. M.; Islam, Md. Rabiul; Ahmed, Abdelsalam A.

doi:10.1109/access.2021.3073020

Cited by 99 publications

(51 citation statements)

References 108 publications

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“…The Model predictive control (MPC) is a popular and effective technique to fulfill high drive performance in electrical machines and systems. The finite control set model predictive control (FCS-MPC) [18], continuous control set model predictive control (CCS-MPC) [19], and finite control set model predictive direct torque control (FCS-MPDTC) [20]- [21] have been presented with optimum duty ratio for electric drives in [22]. Those issues and solutions for the abovementioned control techniques have been discussed in details with many experimental results based on different kinds of machines and drives.…”

Section: Introductionmentioning

confidence: 99%

“…However, there are some serious issues for the MPC to be solved in future, which include large computation time, heavy dependence on parameter, slow dynamics, and lack robustness [23]. As the rapid technology evolution of the microcontroller and digital signal processor, the MPC would find more opportunities for the industrial application [22]. Furthermore, the FPGA development board and ASIC technology not only provide fast computation time but also give more and more opportunities to improve the robustness and to enhance convenience, especially in ASIC with low power consumption and small chip area.…”

Section: Introductionmentioning

confidence: 99%

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Predictive Direct Torque Control Application-Specific Integrated Circuit With a Fuzzy Proportional–Integral–Derivative Controller and a New Round-Off Algorithm

et al. 2022

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This study developed a predictive direct torque control (PDTC) application-specific integrated circuit (ASIC) with a fuzzy proportional-integral-derivative (PID) controller and a new round-off calculation circuit for improving the ripple response of a hysteresis controller when sampling and calculating delay times in an induction motor drive. The proposed PDTC ASIC not only calculates the stator's magnetic flux and torque by detecting three-phase currents, three-phase voltages, and rotor speed but also eliminates large ripples in the torque and flux by using the fuzzy PID controller. Furthermore, the proposed round-off algorithm reduces the calculation error of the composite flux. A fuzzy voltage vector switching table is proposed not only to speed up the calculating speed but also to resolve the instability generated by its large torque and flux ripples. The Verilog hardware description language was used to implement the hardware architecture, and the aforementioned ASIC was fabricated using the 0.18-μm 1P6M CMOS process of the TSMC by employing the cell-based design method. The predictive calculations, fuzzy PID controller, fuzzy voltage vector switching table, and round-off calculation algorithm improved not only the ripple issue faced in traditional direct torque control but also the control stability and robustness. The measurement results indicate that the proposed PDTC ASIC has an operating frequency, a sampling rate, and a dead time of 50 MHz, 100 kS/s, and 100 ns, respectively, at a supply voltage of 1.8 V. The power consumption and chip area of this ASIC are 1.0027 mW and 1.169 × 1.168 mm 2 , respectively. The main advantages of the proposed PDTC ASIC are its low power consumption, small chip area, robustness, and convenience.INDEX TERMS Direct torque control (DTC), Predictive calculation, fuzzy PID controller, round-off algorithm, application-specific integrated circuit (ASIC), induction motor (IM), hardware description language (HDL).

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predictive Direct Torque Control Application-Specific Integrated Circuit With a Fuzzy Proportional–Integral–Derivative Controller and a New Round-Off Algorithm

et al. 2022

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“…Model Predictive Control (MPC) is a novel multi-objective optimal control scheme for nonlinear systems, which uses a predictive model to calculate the value of the motor at the next sampling time [7][8][9]. Reference [10] uses the cost function of MPC to accurately track the reference flux linkage and combines the six basic voltage vectors in the classical DTC to reduce the torque ripple.…”

Section: Introductionmentioning

confidence: 99%

Torque Compensation Method of Switched Reluctance Motor Adopting MPC Based on TSF-Ditc

Yang¹,

Xu²,

Li³

et al. 2022

PIER M

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“…The use of FCS-MPC for various hybrid microgrid application is increased over the past few years [70][71][72][73]. Unlike linear controllers, the FCS-MPC possesses a dynamic response capable of handling instantaneous power disturbances in a hybrid microgrid.…”

Section: Finite Control Set Model Predictive Controlmentioning

confidence: 99%

Multivariable control of multilevel converters in microgrid

Jayan¹

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Recent Achievements in Model Predictive Control Techniques for Industrial Motor: A Comprehensive State-of-the-Art

Cited by 99 publications

References 108 publications

Predictive Direct Torque Control Application-Specific Integrated Circuit With a Fuzzy Proportional–Integral–Derivative Controller and a New Round-Off Algorithm

Predictive Direct Torque Control Application-Specific Integrated Circuit With a Fuzzy Proportional–Integral–Derivative Controller and a New Round-Off Algorithm

Torque Compensation Method of Switched Reluctance Motor Adopting MPC Based on TSF-Ditc

Multivariable control of multilevel converters in microgrid

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