Model Predictive Direct Torque Control—Part II: Implementation and Experimental Evaluation

This paper presents a robust current tracking controller for permanent magnet synchronous motors (PMSMs) with a performance recovery property for electric power steering (EPS) applications. The contributions of this work are twofold. First, a disturbance observer (DOB) is designed to compensate the disturbances arising from the model-plant mismatches while reducing the closed-loop sensitivity. Second, a current controller is designed to improve the current tracking performance in the frequency domain by assigning the performance recovery property to the closed-loop system. The closed-loop performance is verified through simulations and experiments using a 500 W PMSM connected to an EPS system.

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“…Henceforth, the observers of (19) with the outputs of (19) are called the DOBs. The structure of the proposed method is depicted in Figure 4.…”

Section: Proposed Control Algorithmmentioning

confidence: 99%

A Robust Current Controller for Uncertain Permanent Magnet Synchronous Motors with a Performance Recovery Property for Electric Power Steering Applications

et al. 2018

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“…The authors of [1] explicitly use the name two-step-ahead prediction for a method using an estimation step and a single prediction step. In [7] the estimation step is called the initial state projection. Prediction The next step, the prediction step, covers future update periods where all possible future switch state sequences are considered.…”

Section: Finite-set Model Based Predictive Control For Power Elecmentioning

confidence: 99%

Design choices for the prediction and optimization stage of finite-set model based predictive control

Vyncke

Thielemans

Dierickx

et al. 2011

2011 Workshop on Predictive Control of Electrical Drives and Power Electronics

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Abstract-The interest in applying model-based predictive control (MBPC) for power-electronic converters has grown tremendously in the past years. This is due to the fact that MBPC allows fast and accurate control of multiple controlled variables for hybrid systems such as a power electronic converter and its load. As MBPC is a family of possible controllers rather than one single controller, several design choices are to be made when implementing MBPC. In this paper several conceptual possibilities are considered and compared for two important parts of online Finite-Set MBPC (FS-MBPC) algorithm: the cost function in the optimizations step and the prediction model in the prediction step. These possibilities are studied for two different applications of FS-MBPC for power electronics. The cost function is studied in the application of output current and capacitor voltage control of a 3-level flyingcapacitor inverter. The aspect of the prediction model is studied for the stator flux and torque control of an induction machine with a 2-level inverter. The two different applications illustrate the versatility of FS-MBPC. In the study concerning the cost function firstly the comparison is made between quadratic and absolute value terms in the cost function. Comparable results are obtained, but a lower resource usage is obtained for the absolute value cost function. Secondly a capacitor voltage tracking control is compared to a control where the capacitor voltage may deviate without cost from the reference up to a certain voltage. The relaxed cost function results in better performance. For the prediction model both a classical, parametric machine model and a back propagation artificial neural network are applied. Both are shown to be capable of a good control quality, the neural network version is much more versatile but has a higher computational burden. However, the number of neurons in the hidden layer should be suffciently high. All studied aspects were verified with experimental results and these validate the simulation results. Even more important is the fact that these experiments prove the feasibility of implementing online finite-set MBPC in an FPGA for both applications.

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“…Furthermore, 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. Studies have reported that the MPDTC algorithm can achieve an average inverter switching frequency reduction of 16.5% [4,5].…”

Section: Introductionmentioning

confidence: 99%

Predictive Direct Torque Control Application-Specific Integrated Circuit of an Induction Motor Drive with a Fuzzy Controller

Sung

Wang

Lin

et al. 2017

JLPEA

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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 mm 2 , and power consumption of 296 mW, at an operating frequency of 50 MHz and a supply voltage of 1.8 V.

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Model Predictive Direct Torque Control—Part II: Implementation and Experimental Evaluation

Cited by 289 publications

References 7 publications

A Robust Current Controller for Uncertain Permanent Magnet Synchronous Motors with a Performance Recovery Property for Electric Power Steering Applications

A Robust Current Controller for Uncertain Permanent Magnet Synchronous Motors with a Performance Recovery Property for Electric Power Steering Applications

Design choices for the prediction and optimization stage of finite-set model based predictive control

Predictive Direct Torque Control Application-Specific Integrated Circuit of an Induction Motor Drive with a Fuzzy Controller

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