Control of Magnetic Bearing With Material Saturation Nonlinearity

Gerami, Ali; Allaire, Paul E.; Fittro, Roger

doi:10.1115/1.4029125

Cited by 8 publications

(3 citation statements)

References 18 publications

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“…As using low bias current values accentuates the nonlinear force characteristics of the bearing, nonlinear control methods become more appropriate [13,14]. To improve load capacity, Gerami et al presented a nonlinear magnetization model and control of a radial AMB with high-level magnetization [15]. Chen and Song implemented a dynamics bias current control strategy to stabilize an AMB system and minimize energy consumption [16].…”

Section: Introductionmentioning

confidence: 99%

Linearizing Control of a Distributed Actuation Magnetic Bearing for Thin-Walled Rotor Systems

2020

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This paper describes an exact linearizing control approach for a distributed actuation magnetic bearing (DAMB) supporting a thin-walled rotor. The radial DAMB design incorporates a circular array of compact electromagnetic actuators with multi-coil winding scheme optimized for supporting thin-walled rotors. A distinguishing feature is that both the x and y components of the radial bearing force are coupled with all four of the supplied coil currents and so a closed form solution for the linearizing equations cannot be obtained. To overcome this issue, a gradient-based root-finding algorithm is proposed to solve the linearizing equations numerically in real-time. The proposed method can be applied with any chosen constraints on current values to achieve low RMS values while avoiding zero-current operating points. The approach is implemented and tested experimentally on a rotor system comprising two radial DAMBs and a uniform cylindrical shell rotor. The results show that the method achieves more accurate reproduction of demanded bearing forces, thereby simplifying the rotor suspension control design and providing improved stability and vibration control performance compared with implementations based on operating point linearization.

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Section: Introductionmentioning

confidence: 99%

Linearizing Control of a Distributed Actuation Magnetic Bearing for Thin-Walled Rotor Systems

2020

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“…Kang and Palazzolo [4] proposed an analytical model for magnetic saturation with a modified Langmuir method. Gerami et al [19] considered magnetic saturation by modelling magnetisation non‐linearity precisely with Lur's method for the purpose of controller development. Even though magnetic saturation is modelled in the previous work, these models are not used for systematical detailed calculation and analysis of mathematical bearing capacity model of AMBs.…”

Section: Introductionmentioning

confidence: 99%

Research on analytical bearing capacity model of active magnetic bearings based on magnetic saturation

Wang

Yuan

et al. 2017

IET Electric Power Applications

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Researches on active magnetic bearings (AMBs) are mainly based on equivalent magnetic circuit (EMC) method with the assumption that there is no magnetic saturation in magnetic circuit. However, this assumption about magnetic saturation is no longer valid for special solutions, such as aero‐engines. In this case, limitations exist for the application of EMC method. This research focuses on an analytical bearing capacity model for AMBs based on a non‐linear magnetic circuit method (NMCM) with magnetic saturation taken into account. First, the error factors of EMC method are analysed by using finite element analysis software when the air gap increased. Then, aiming at the main factors, including fringing flux, flux leakage and magnetic saturation, the air‐gap magnetic flux model and the flux leakage model are developed based on the magnetic field division method. On this basis, a NMCM based on magnetic saturation is proposed to create the analytical bearing capacity model of AMBs. Additionally, the analytical model is verified by comparing with the results of finite element analysis and experiments. Eventually, the analytical model of hybrid magnetic bearing with single degree of freedom based on NMCM is verified by experiments.

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“…In some industries, it is necessary for each operation to start exactly following the previous operation due to such factors as temperature and concentration. Some of the specific applications of these problems are in food (Hall & Sriskandarajah, 1996), pharmaceutical (Raaymakers & Hoogeveen, 2000), chemical (Rajendran, 1994), concrete software (Grabowski & Pempera, 2000), steel (Gerami, Allaire and Fittro, 2015), plastic and aluminum industries. In steel industry, for example, this occurs due to a series of consecutive processes such as casting, smelting and rolling.…”

Section: Introductionmentioning

confidence: 99%

Solving no-wait two-stage flexible flow shop scheduling problem with unrelated parallel machines and rework time by the adjusted discrete Multi Objective Invasive Weed Optimization and fuzzy dominance approach

Jafarzadeh

Moradinasab

Gerami

2017

JIEM

Self Cite

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Abstract:Purpose: Adjusted discrete Multi-Objective Invasive Weed Optimization (DMOIWO) algorithm, which uses fuzzy dominant approach for ordering, has been proposed to solve No-wait two-stage flexible flow shop scheduling problem.Design/methodology/approach: No-wait two-stage flexible flow shop scheduling problem by considering sequence-dependent setup times and probable rework in both stations, different ready times for all jobs and rework times for both stations as well as unrelated parallel machines with regards to the simultaneous minimization of maximum job completion time and average latency functions have been investigated in a multi-objective manner. In this study, the parameter setting has been carried out using Taguchi Method based on the quality indicator for better performance of the algorithm. Findings:The results of this algorithm have been compared with those of conventional, multiobjective algorithms to show the better performance of the proposed algorithm. The results clearly indicated the greater performance of the proposed algorithm.-887-Journal of Industrial Engineering and Management -https://doi.org/10.3926/jiem.2348 Originality/value: This study provides an efficient method for solving multi objective no-wait two-stage flexible flow shop scheduling problem by considering sequence-dependent setup times, probable rework in both stations, different ready times for all jobs, rework times for both stations and unrelated parallel machines which are the real constraints.Keywords: no-wait two-stage flexible flow shop, setup time of the machinery, probable rework, adjusted discrete multi-objective invasive weed optimization

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Control of Magnetic Bearing With Material Saturation Nonlinearity

Cited by 8 publications

References 18 publications

Linearizing Control of a Distributed Actuation Magnetic Bearing for Thin-Walled Rotor Systems

Linearizing Control of a Distributed Actuation Magnetic Bearing for Thin-Walled Rotor Systems

Research on analytical bearing capacity model of active magnetic bearings based on magnetic saturation

Solving no-wait two-stage flexible flow shop scheduling problem with unrelated parallel machines and rework time by the adjusted discrete Multi Objective Invasive Weed Optimization and fuzzy dominance approach

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