Modeling of Permanent-Magnet Synchronous Machine Including Torque Ripple Effects

Gebregergis, Abraham; Chowdhury, Mazharul; Islam, Mohammad; Sebastian, Tomy

doi:10.1109/tia.2014.2334733

Cited by 96 publications

(26 citation statements)

References 9 publications

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“…Apart from the fast electrical dynamics, the torque perturbation d e includes several cogging torques and parasitic ripples coming from current sensor offsets and inverter nonlinearities. Analytical modelling and identification methods of such torque ripples have been reported in the literature [44,45,46,47,48], while compensation of the input torque perturbation is mainly achieved via appropriate feed-forward terms in the current control loop [49,50] and it is not addressed in the current study. Instead, the assumption that there exists appropriate feedforward compensation of d e , introduced in [42], is also adopted here, i.e.…”

Section: Mathematical Modelmentioning

confidence: 99%

Adaptive and sliding mode friction-resilient machine tool positioning – Cascaded control revisited

Papageorgiou

Blanke

Niemann

et al. 2019

Mechanical Systems and Signal Processing

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Needs for high-accuracy tool positioning and accurate trajectory following have renewed the focus on controller design for machine tools. While state-of-the-art solutions, based on Proportional (P) and Proportional-Integral (PI) cascades, achieve sufficient nominal performance, axis positioning accuracy quickly degrades in the presence of additional wear-related friction. Sliding-mode and nonlinear adaptive controllers with no cascaded architecture can alleviate such performance deterioration at the cost, however, of significantly increased design complexity. This is mainly due to the fact that such architectures facilitate addressing more nonlinear phenomena, such as load dynamic friction. This paper investigates three nonlinear controllers with cascaded architecture for machine tool axis positioning. A comparative analysis of the positioning solutions is carried out and it is shown that a cascaded scheme comprising a proportional and a super-twisting sliding-mode controller offers superior friction-resilient axis positioning. Moreover, its design complexity is comparable to that of the conventional P-PI solution. Experimental results obtained from a single-axis test setup equipped with commercial industrial equipment validate the theoretical findings.

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Section: Mathematical Modelmentioning

confidence: 99%

Adaptive and sliding mode friction-resilient machine tool positioning – Cascaded control revisited

Papageorgiou

Blanke

Niemann

et al. 2019

Mechanical Systems and Signal Processing

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“…As the modern smooth control strategies grow in complexity, the fuzzy controllers are very competitive in high-performance drive applications. Hence, system performance/complexity ratio is generally higher for adaptive fuzzy controllers [7]. In conventional P, PI and PID controllers, which cannot cope up with system's parameter variations because of the required fine-tuning is low.…”

Section: Fuzzy Logic Controlmentioning

confidence: 99%

“…A simple structure Fuzzy Logic Controller (FLC) is utilized to regulate the motor speed. Several fuzzy control applications including the physical systems, require a real-time operation to interface high-speed constraints [6,7]. Higher density programmable logic devices, such as field programmable gate array (FPGA) can be used to integrate large amounts of fuzzy logic in a single integrated circuit (IC).…”

Section: Fuzzy Logic Controlmentioning

confidence: 99%

“…A model of PMSM with electromagnetically originated torque ripple given in Gebregergis et al [7] where the author is aimed to develop an appropriate mitigation scheme for low torque ripple applications requiring four quadrant operations. For modelling analysis Finite-element (FE) analysis mechanism is used which verifies the lumped circuit model.…”

Section: Review Of Existing Resourcesmentioning

confidence: 99%

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A Review on Controlling Techniques for Permanent Magnet Synchronous Motor (PMSM) and Current State of the Art in the Research Area

Thampi¹,

Kiran²

2019

CAE

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The significance of Permanent Magnet Synchronous Motors (PMSM) is that it offers high performance and efficiency for motor drives. The controlling of the high-performance motor is characterized by smooth operation of the motor over entire speed range, control ability of torque even at zero speed, fast acceleration, and deceleration. The optimization of the speedcontrol performance under different constraints and uncertainties is the biggest concern in PMSM. In that sense, various speedcontrol mechanisms were presented towards identifying the better way to control PMSM drive having high-speed features and desired torque response. However, it is necessary to have a suitable control mechanism where the better adjustment of performance can be achieved for a different operating condition. However, it is quite hard to distinguish the system characteristics and dynamic control parameters during real-time operation due to complexity in PMSM system. This paper intends to present the survey of controlling strategies in PMSM and current research trends in PMSM. Along with the research gap, a futuristic line of research is presented.

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“…Permanent magnet synchronous motors (PMSMs) are widely used in low and medium power applications such as computer peripheral equipment, robotics, adjustable speed drives and electric vehicles [1]. With lots of advantages, such as high torque density, small size and low maintenance cost, the permanent magnet synchronous motors (PMSMs) find wide applications at home and in industries [2,3,4]. The elimination of slip rings and field exciting coils by using permanent magnets in the rotor results in low maintenance requirement, reduced inertia and losses [5].…”

Section: Introductionmentioning

confidence: 99%

A simplified sensorless speed control of permanent magnet synchronous motor using model reference adaptive system

Ojionuka¹,

Chinaeke-Ogbuka

Ogbuka³

et al. 2019

Journal of Electrical Engineering

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A simplified sensorless speed control of permanent magnet synchronous motor (PMSM) using model reference adaptive system (MRAS) is presented. The MRAS is designed and incorporated in a complete closed loop PMSM control system fed by a three-phase inverter that utilizes a simplified hysteresis current control (HCC) to generate gating signals. Accurate rotor position, being essential in PMSM control, is estimated using MRAS rather encoders and resolvers which are explicit position sensors thereby eliminating the drawbacks of the traditional speed sensors in drive systems. The performance of this model is compared with an existing model that utilizes encoders and resolvers. Superior performance was obtained from this new model with MRAS. After initial starting transients, it is observed that the rotor speed for the model with MRAS settled to steady state at 0.10 seconds as against the model with speed sensor which attained steady state at 0.31 seconds. Torque response follows the same pattern to return to the load torque of 11Nm at steady state after starting. After speed reversal, the model with MRAS restored to steady state to track the negative speed command at 0.44 seconds. This is a superior performance compared to the model with speed sensor which settled at 0.60 seconds after speed reversal. The results have clearly shown the superiority of sensorless MRAS over traditional drive models with speed sensors. The software used for this research is MATLAB/Simulink 2017 model.

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Modeling of Permanent-Magnet Synchronous Machine Including Torque Ripple Effects

Cited by 96 publications

References 9 publications

Adaptive and sliding mode friction-resilient machine tool positioning – Cascaded control revisited

Adaptive and sliding mode friction-resilient machine tool positioning – Cascaded control revisited

A Review on Controlling Techniques for Permanent Magnet Synchronous Motor (PMSM) and Current State of the Art in the Research Area

A simplified sensorless speed control of permanent magnet synchronous motor using model reference adaptive system

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