A Novel Direct Torque Control of Matrix Converter-Fed PMSM Drives Using Duty Cycle Control for Torque Ripple Reduction

Xia, Changliang; Zhao, Jiaxin; Yan, Yan; Shi, Tingna

doi:10.1109/tie.2013.2276039

Cited by 148 publications

(83 citation statements)

References 27 publications

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“…The first method is the method common to [18,19] presented by the block diagram in Figure 12. The second method represents the standard method with LPFs presented in [3][4][5][6][7][8], where the integrators in Figure 1 are replaced by LPFs.…”

Section: A Comparison Of the Proposed Compensation With Referred Methodsmentioning

confidence: 99%

“…The integrators are typically replaced by low-pass filters (LPFs), which, from the standpoint of the transfer function, is equivalent to a high-pass filter (HPF) in a cascade with each of the integrators to attenuate DC offsets in the waveforms of the input voltage. From the results of such implementations presented in [3][4][5][6][7][8], it can be seen that the LPFs influence both the magnitude and the phase of the output waveforms of the magnetic flux linkage. While the influence on the magnitude above the cut-off frequency is practically negligible, the phase shift of the LPFs must be compensated because of its direct influence on the estimated angular position of the rotor.…”

Section: Introductionmentioning

confidence: 99%

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The Flux-Based Sensorless Field-Oriented Control of Permanent Magnet Synchronous Motors without Integrational Drift

2018

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Abstract:The magnitude of the rotor magnetic flux linkage and its spatial orientation within a permanent magnet synchronous motor directly define the angular position of the rotor and are thus used in many sensorless applications as the governing variables. The rotor magnetic flux linkage in the stator reference frame is represented by two orthogonal sinusoids whose amplitudes and phases are determined by the integration of the orthogonal components of the corresponding voltage, which, due to DC offsets and initial conditions at transient states, result in an integrational drift. This paper proposes a solution to the problem of such integrational drift in the form of a compensation based only on orthogonal properties of waveforms in the stator reference frame. That makes it completely independent of electrical parameters of the motor. As a result, the proposed compensation of the integrational drift does not require any optimization by the user and it is functional from a standstill. The effectiveness of the proposed compensation is demonstrated analytically, by a simulation, and an experiment on a real motor by a simple observer for the sensorless field-oriented control based on the voltage model in the stator reference frame.

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Section: A Comparison Of the Proposed Compensation With Referred Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Flux-Based Sensorless Field-Oriented Control of Permanent Magnet Synchronous Motors without Integrational Drift

2018

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“…Since the switching table is provided with a limited number of voltage vectors, a discrete SVM is proposed in [14,15] and a multilevel inverter and a matrix inverter are adopted in [16][17][18][19] respectively, to get more voltage vectors. However, with the increase of available voltage vectors, a more complex switching table needs to be defined.…”

Section: Introductionmentioning

confidence: 99%

Direct Stator Flux Vector Control Strategy for IPMSM using a Full-order State Observer

Yuan¹,

Zeng²,

Zhao³

2017

Journal of Electrical Engineering and Technology

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-A direct stator flux vector control scheme in discrete-time domain is proposed in this paper for the interior permanent magnet synchronous motor (IPMSM) drive to remove the proportional-integral (PI) controller from the direct torque control (DTC) scheme applied to IPMSM and to obtain faster dynamic response and lower torque ripple output. The output of speed outer loop is used as the desired torque angle instead of the desired torque in the proposed scheme. The desired stator flux vector in dq coordinate is calculated with a given amplitude. The state-space equations in discrete-time for IPMSM are established, the actual stator flux vector is estimated in deadbeat manner by a full-order state observer, and then the closed-loop control is achieved by the pole placement. The stator flux error vector is utilized to calculate the reference stator voltage vector. Extracting the angle position and amplitude from the estimated stator flux vector and estimating the output torque are eliminated for the direct feedback control of the stator flux vector. The proposed scheme is comparatively investigated with a PI-SVM DTC scheme by experiment results. Experimental results show the feasibility and advantages of the proposed control scheme.

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“…However, the PMSM system is a nonlinear system with unavoidable and unmeasured disturbances and parameter variations [14]; it is difficult to achieve a satisfactory servo performance in the entire operating range when only using such linear control methods. Hence, nonlinear control methods become natural improved solutions for the PMSM system [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

“…To enhance the system performance, in recent years, many advanced information theories has been developed for the control system, such as input-output linearization control [15]; adaptive control [18]; robust control [19]; sliding mode control [20], which has been applied for a fractional order chaotic system [21,22]; fractional order theory is also novel and interesting for researchers [23]; nonlinear model predictive control has been proposed for hydropower system [24]; back-stepping control [25]; finite-time control [26]; neural network methods are used in motion control system and a fruit classification system [27,28]; fuzzy theory [29,30], etc. These information theories can improve system performance from different aspects.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Adaptive Repetitive Control for Periodic Disturbance with Its Application to High Performance Permanent Magnet Synchronous Motor Speed Servo Systems

Wang

2016

Entropy

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Abstract:For reducing the steady state speed ripple, especially in high performance speed servo system applications, the steady state precision is more and more important for real servo systems. This paper investigates the steady state speed ripple periodic disturbance problem for a permanent magnet synchronous motor (PMSM) servo system; a fuzzy adaptive repetitive controller is designed in the speed loop based on repetitive control and fuzzy information theory for reducing periodic disturbance. Firstly, the various sources of the PMSM speed ripple problem are described and analyzed. Then, the mathematical model of PMSM is given. Subsequently, a fuzzy adaptive repetitive controller based on repetitive control and fuzzy logic control is designed for the PMSM speed servo system. In addition, the system stability analysis is also deduced. Finally, the simulation and experiment implementation are respectively based on the MATLAB/Simulink and TMS320F2808 of Texas instrument company, DSP (digital signal processor) hardware platform. Comparing to the proportional integral (PI) controller, simulation and experimental results show that the proposed fuzzy adaptive repetitive controller has better periodic disturbance rejection ability and higher steady state precision.

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A Novel Direct Torque Control of Matrix Converter-Fed PMSM Drives Using Duty Cycle Control for Torque Ripple Reduction

Cited by 148 publications

References 27 publications

The Flux-Based Sensorless Field-Oriented Control of Permanent Magnet Synchronous Motors without Integrational Drift

The Flux-Based Sensorless Field-Oriented Control of Permanent Magnet Synchronous Motors without Integrational Drift

Direct Stator Flux Vector Control Strategy for IPMSM using a Full-order State Observer

Fuzzy Adaptive Repetitive Control for Periodic Disturbance with Its Application to High Performance Permanent Magnet Synchronous Motor Speed Servo Systems

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