Direct Vibration Force Suppression for Magnetically Suspended Motor Based on Synchronous Rotating Frame Transformation

Peng, Cong; Zhou, Qian

doi:10.1109/access.2019.2904745

Cited by 13 publications

(7 citation statements)

References 25 publications

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“…There are many factors that can produce periodic vibrations of rotating machinery, but the most important one is the synchronous vibration caused by the rotor mass imbalance [32].…”

Section: Amb Rotor Synchronous Vibration Mechanism Analysismentioning

confidence: 99%

A Model-Free Control Method for Synchronous Vibration of Active Magnetic Bearing Rotor System

Zheng

Zhou

et al. 2019

IEEE Access

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The unbalanced force on the active magnetic bearing (AMB) rotor system is the main reason of system vibrations, which always have periodic repetitive characteristics. However, the closed-loop feedback control system (CFCS) is difficult to achieve effective control of these repetitive problems. In this paper, we firstly analyzed the synchronous vibration by taking AMB rotor mass imbalance as an example. Then, we proposed a model-free control (MFC) method based on the Newton-type ILC algorithm, and the key of this MFC is to use a partial derivative (P-D) of the output with respect to the input. The simplicity of this algorithm lies in that and the P-D is calculated by only using the input and output (I/O) data of the system and then used to adjust the ILC gain. Subsequently, we proposed a parallel plug-in control scheme based on existing AMB control system to suppress synchronous vibration. Finally, we carried out the simulation and experiment to research the control method mentioned in this paper. The results show that the MFC has a good control effect on AMB synchronous vibration. Notably, this MFC for synchronous vibration has the advantages of being without system model, simple design and good portability, and can provide theoretical and experimental basis for the application of AMB in high precision and high speed fields.INDEX TERMS Active magnetic bearing, synchronous vibration, model-free, iterative learning control parallel control scheme.

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“…There are many factors that can produce periodic vibrations of rotating machinery, but the most important one is the synchronous vibration caused by the rotor mass imbalance [32].…”

Section: Amb Rotor Synchronous Vibration Mechanism Analysismentioning

confidence: 99%

A Model-Free Control Method for Synchronous Vibration of Active Magnetic Bearing Rotor System

Zheng

Zhou

et al. 2019

IEEE Access

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“…The advantages of AMB are efficient energy consumption, low friction losses, noise-free operation, longer lifetime, etc. (Saha and Nabi, 2016;Peng and Zhou, 2019;Saha et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic control of five-DOF active magnetic bearing system based on sliding mode concept

Saha¹,

Amrr²,

Bhutto³

et al. 2022

Front. Control Eng.

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In rotor dynamics, the deviation of the shaft is a common phenomenon. The main reasons for the deviation are non-linear attractive forces, harmonic disturbances, system parameter variations, etc. Active magnetic bearings (AMBs) are used to support the rotor inside the air gap in rotating machines, thus avoiding wear and tear and possible breakdowns. This paper proposes a fuzzy sliding mode-inspired control (FSMIC) technique for the five-degrees-of-freedom (DOF) AMB system in the presence of system uncertainties and measurement noises. The fuzzy logic is used to estimate the auxiliary control input of the sliding mode control (SMC) to attenuate the chattering. The variable gains are designed with the help of superintended fuzzy logic to bring more flexibility to the controller performance. The stability analysis is presented with the help of the Lyapunov function candidate. The simulation studies for the AMB system under distinct types of control techniques, i.e., PID, SMC, and FSMIC, illustrate the effectiveness of the proposed control strategy.

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“…However, there are several advantages of using AMB over traditional mechanical bearings thus making it the preferred choice. These advantages consist of reduced friction losses, high speed revolution, less energy utilization, longer lifetime, wear free, reduced vibration, and noise, and so forth (Peng and Zhou, 2019). The practice of using AMB in the industries has increased recently due to the advancements of power electronics in the application of controller design.…”

Section: Introductionmentioning

confidence: 99%

Pseudospectral method-based optimal control for a nonlinear five degree of freedom active magnetic bearing system

Saha

Banerjee

Amrr

et al. 2021

Transactions of the Institute of Measurement and Control

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Active magnetic bearings (AMB) are used to suspend the rotor freely inside the stator to avoid any physical contact between them. Thus, it helps in significantly reducing the wear and tear that may cause a system breakdown. With the advancement of power electronics and the implementation of advanced control techniques, the use of AMB in industrial applications has increased. This paper proposes an optimal control strategy for the five degree of freedom (DOF) AMB system. The time-energy consumption of input is minimized by the application of a relatively new optimal control method called the pseudospectral method (PSM). Since the AMB is a nonlinear system, therefore the implementation of classical optimal control strategies becomes challenging. Thus, the PSM first transforms the optimal control problem at non-uniform nodes and converts it into a nonlinear programming problem, which is relatively easier to tackle. The PSM, as demonstrated in this paper, is able to find optimal solutions using relatively fewer grid points which in turn reduces the computational time and converges to the solution faster. The simulation analysis for the AMB system using two different types of PSM, that is, Legendre PSM and the Chebyshev PSM illustrates the optimal performance of the proposed strategy.

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Direct Vibration Force Suppression for Magnetically Suspended Motor Based on Synchronous Rotating Frame Transformation

Cited by 13 publications

References 25 publications

A Model-Free Control Method for Synchronous Vibration of Active Magnetic Bearing Rotor System

A Model-Free Control Method for Synchronous Vibration of Active Magnetic Bearing Rotor System

Fuzzy logic control of five-DOF active magnetic bearing system based on sliding mode concept

Pseudospectral method-based optimal control for a nonlinear five degree of freedom active magnetic bearing system

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