Analysis and Control of Slotless Self-Bearing Motor

Nguyen, Huy H.; Nguyen, Xuan Bien; Bui, Trung Tuyen; Ueno, S.; Nguyen, Quang Dung

doi:10.3390/act8030057

Cited by 14 publications

(27 citation statements)

References 16 publications

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“…To levitate the rotor, the inputs are currents and suspension forces. The rotor weight, force-current factor, and force-displacement factor all influence the amount of suspension forces [17]. When constructing a suitable suspension controller, the presence of an external disturbance should be taken into account [18].…”

Section: Motor Simulation and Controlmentioning

confidence: 99%

Particle swarm optimization based interval type 2 fuzzy logic control for motor rotor position control of artificial heart pump

Raheem

Hassan

Kdahim

2022

IJEECS

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Artificial heart pump (AHP) is employed to replace the native damaged heart and perform its functions. Bearingless brushless DC (BBLDC) motors are used for the implementation of the AHP. BBLDC motor is a highly nonlinear model with uncertainties and its mathematical model is hard to be found accurately. In this paper, BBLDC motor is simulated. Proportional plus integral (PI) controller is proposed to control the rotor suspension current. Furthermore, a type 2 proportional plus integral plus derivative-like fuzzy logic controller (T2 PID-Like FLC) is proposed to control the motor rotor (x, y) positions. Particle swarm optimization (PSO) technique is employed to find the best controller scaling factors and to optimize the controller inputs membership functions distribution within its universe of discourse. Simulation results showed enhancement in levitating the rotor to the required position, when using T2 PID-like FLC as compared with using type 1 PID-like fuzzy logic controller. The enhancement is measured using integral of absolute error (IAE) as a cost function to achieve 64.18% and 81.81% in the x and y axes respectively. The Performance of the motor is enhanced by 20%, which decreases the rotor oscillation and increases the ability to withstand the system disturbances and nonlinearity

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Section: Motor Simulation and Controlmentioning

confidence: 99%

Particle swarm optimization based interval type 2 fuzzy logic control for motor rotor position control of artificial heart pump

Raheem

Hassan

Kdahim

2022

IJEECS

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“…A study on optimizing an axial flux PM machine for torque ripple minimization is presented in [13]. A process to control the displacement and speed of a motor with two radial levitations and one axial thrust magnetic bearing was described in [14]. The generation of compensation forces to actively control the displacement of a flywheel with passive and hybrid magnetic bearings is described in [15].…”

Section: Stator Imentioning

confidence: 99%

Optimization of the Guiding Stability of a Horizontal Axis HTS ZFC Radial Levitation Bearing

et al. 2021

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This document presents a study on the optimization of the 3D geometry of a horizontal axis radial levitation bearing with zero-field cooled (ZFC) high-temperature superconductor (HTS) bulks in the stator, and radially magnetized permanent magnet (PM) rings in the rotor. The optimization of component dimensions and spacing to minimize the volume or cost concerning only the maximization of the levitation force was previously studied. The guidance force and guiding stability depend on the spacing between PM rings in the rotor and between the rings of HTS bulks in the stator. This new optimization study aims to find the optimum spacing that maximize the guidance force with given HTS bulk and PM ring dimensions while maintaining the minimum required levitation force. Decisions are taken using the non-dominated sorting genetic algorithm (NSGA-II) over 3D finite element analysis (FEA). A simplified electromagnetic model of equivalent relative permeability is used on 3D FEA to reduce numerical processing and optimization time. Experimental prototypes were built to measure magnetic forces and validate appropriate values of equivalent magnetic permeability. An analysis of stable and unstable geometry domains depending on the spacing between rings of HTS bulks and PM rings is also done for two HTS bulk sizes.

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“…Due to the limit number of the investigations of the disturbance rejection techniques for SSBM, this paper proposed a new super-twisting disturbance observer to meet the goal of precision control design. Especially, the sources of disturbances and uncertainties of the SSBM were ignored in [8][9][10]. In this paper, all these mentioned terms will be clearly clarified by each source such as the fabrication process will make huge error of winding process, there are included the distortions of hexagonal shapes of the SSBM, the incorrect of initial angle of the shape, the stacks of the wires, and the incorrect lengths of the shape' edges.…”

Section: Introductionmentioning

confidence: 99%

“…The basic concepts of the This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ SSBM can be found in [6][7][8][9][10]. Some efforts to reduce the size of bearing systems were presented in [11][12].…”

Section: Introductionmentioning

confidence: 99%

Robust Sliding Mode Control-Based a Novel Super-Twisting Disturbance Observer and Fixed-Time State Observer for Slotless-Self Bearing Motor System

Nguyen

et al. 2022

IEEE Access

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The disturbance and uncertainty of the motor drive systems are very complicated terms. There is no exception for the slotless-self bearing motor (SSBM), where the perturbations of the bearing motor are mainly came from the outside as the wind affect, from inside as the thermal changing of the coils, and incorrect modeling of the winding processes. First, to delete these inversed terms, this paper proposes a new super-twisting disturbance observer (STDOB) to obtain the desired goal of the robust control design. The proposed disturbance observer was based on the information of measured and estimated states with the aim of softening the cost of the measurement. Second, to estimate the velocities and accelerations of the movements on x  and y  axes, the stability concept of homogeneous function-based was used to design the fixed-time state observers (FTSOBs) for these axes. The state of the rotational operation on   axis was estimated with a fixed-time state observer. Third, to control the positions and rotational speed, a variable boundary layer thickness (VBLT) fixed-time sliding mode control (FTSMC) was designed to force these positions and speed states converge to the desired goals. Finally, the stability of the proposed control algorithm was theoretically verified by using Lyapunov condition and simulation of MATLAB software. The obtained states were acceptably stable with small overshoots, small settling-times, and stable steadystates.INDEX TERMS Slotless-self bearing motor, super-twisting disturbance observer, variable boundary layer thickness, fixed-time sliding mode control.

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Analysis and Control of Slotless Self-Bearing Motor

Cited by 14 publications

References 16 publications

Particle swarm optimization based interval type 2 fuzzy logic control for motor rotor position control of artificial heart pump

Particle swarm optimization based interval type 2 fuzzy logic control for motor rotor position control of artificial heart pump

Optimization of the Guiding Stability of a Horizontal Axis HTS ZFC Radial Levitation Bearing

Robust Sliding Mode Control-Based a Novel Super-Twisting Disturbance Observer and Fixed-Time State Observer for Slotless-Self Bearing Motor System

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