Magnetic Bearing Spindle Tool Tracking Through &lt;inline-formula&gt;&lt;tex-math&gt;${\mu}$&lt;/tex-math&gt; &lt;/inline-formula&gt;-Synthesis Robust Control

Pesch, Alexander H.; Смирнов, А. В.; Pyrhönen, Olli; Sawicki, Jerzy T.

doi:10.1109/tmech.2014.2344592

Cited by 55 publications

(11 citation statements)

References 16 publications

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“…Dong et al [10] developed two types of adaptive back-stepping control for an AMB system with external disturbances and uncertainties, and they achieved excellent control performance for restraining disturbance. Pesch et al [11] designed a new method for tooltip tracking control of a spindle with AMBs and confirmed the reference tracking accuracy and the disturbance rejection ability by using a µ-synthesis model-based robust controller. Kandil et al [12] proposed twisting and suboptimal algorithms based on second-order sliding mode control for AMB systems with model uncertainties and time-varying harmonic disturbances.…”

Section: Introductionmentioning

confidence: 92%

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Dual-mode predictive control of a rotor suspension system

Ren

Zhang

2019

Sci. China Inf. Sci.

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Rotor active magnetic bearing (rotor-AMB) systems are frequently used to alleviate vibrations for various applications such as in national defense, manufacturing industries, IC production, and aerospace engineering. One obstacle to improve machining efficiency and quality is the open-loop instability of rotor-AMB systems during the machining process. We built a closed-loop processing platform using a spindle rotor installed with AMBs and thereby developed a rotor-AMB suspension system embedded with a dual-mode predictive controller (DMPC). The performance of the system is thus substantially improved. In the proposed DMPC, both model-based prediction and receding horizon optimization are utilized to guarantee the closedloop stability of the rotor-AMB suspension systems with input constraints. Finally, the effectiveness and superiority of the proposed method are examined through substantial levitation experiments on a machining platform with installed AMBs.

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Section: Introductionmentioning

confidence: 92%

“…where P * := P 11 − P 12 P −1 22 P T 12 > 0 [31]. When ξ(k) = 0, we obtain P x = P 11 from (11) and (20). Otherwise, ξ(k) = 0, and we obtain P * − P 11 0 as P 12 and P −1 22 are both positive definite.…”

Section: Architecture and Model Of The Rotor-amb Systemmentioning

confidence: 99%

Dual-mode predictive control of a rotor suspension system

Ren

Zhang

2019

Sci. China Inf. Sci.

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“…This technology has become of particular interest for ultra-high speeds drives [3]. It is the case of compressors, spindles, flywheels [4], [5] and generators where high rotational speed operation means minimize the weight, size and cost, and maximize the efficiency of the whole system [6]. Furthermore, bearingless drives would provide a possible solution for installations in extremely harsh environments, such as vacuum and very low and high temperatures, and in sterile conditions with nolubrication requirements such as chemical and turbo-molecular pumps and artificial hearts [7].…”

Section: Introductionmentioning

confidence: 99%

Performance Improvement of Bearingless Multisector PMSM With Optimal Robust Position Control

Valente

Formentini

Papini

et al. 2019

IEEE Trans. Power Electron.

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Abstract-Bearingless machines are relatively new devices that consent to suspend and spin the rotor at the same time. They commonly rely on two independent sets of three-phase windings to achieve a decoupled torque and suspension force control. Instead, the winding structure of the proposed multi-sector permanent magnet (MSPM) bearingless machine permits to combine the force and torque generation in the same three-phase winding. In this paper the theoretical principles for the torque and suspension force generation are described and a reference current calculation strategy is provided. Then, a robust optimal position controller is synthesized. A Multiple Resonant Controller (MRC) is then integrated in the control scheme in order to suppress the position oscillations due to different periodic force disturbances and enhance the levitation performance. The Linear-Quadratic Regulator (LQR) combined with the Linear Matrix Inequalities (LMI) theory have been used to obtain the optimal controller gains that guarantee a good system robustness. Simulation and experimental results will be presented to validate the proposed position controller with a prototype bearingless MSPM machine.

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“…Magnetic bearings are the core part of high-speed electrospindles and directly affect their properties. The most common magnetic bearings used to support magnetically suspended motorized spindles are DC magnetic bearings [1][2][3][4][5]. In terms of cost savings and power consumption, AC magnetic bearings and hybrid magnetic bearings (HMBs) have obvious advantages compared with other magnetic bearings [6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Experimental Analysis and Full Prediction Model of a 5-DOF Motorized Spindle

et al. 2017

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Abstract:The cost and power consumption of DC power amplifiers are much greater than that of AC power converters. Compared to a motorized spindle supported with DC magnetic bearings, a motorized spindle supported with AC magnetic bearings is inexpensive and more efficient. This paper studies a five-degrees-of-freedom (5-DOF) motorized spindle supported with AC hybrid magnetic bearings (HMBs). Most models of suspension forces, except a "switching model", are quite accurate, but only in a particular operating area and not in regional coverage. If a "switching model" is applied to a 5-DOF motorized spindle, the real-time performance of the control system can be significantly decreased due to the large amount of data processing for both displacement and current. In order to solve this defect, experiments based on the "switching model" are performed, and the resulting data are analyzed. Using the data analysis results, a "full prediction model" based on the operating state is proposed to improve real-time performance and precision. Finally, comparative, verification and stiffness tests are conducted to verify the improvement of the proposed model. Results of the tests indicate that the rotor has excellent characteristics, such as good real-time performance, superior anti-interference performance with load and the accuracy of the model in full zone. The satisfactory experimental results demonstrate the effectiveness of the "full prediction model" applied to the control system under different operating stages. Therefore, the results of the experimental analysis and the proposed full prediction model can provide a control system of a 5-DOF motorized spindle with the most suitable mathematical models of the suspension force.

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Magnetic Bearing Spindle Tool Tracking Through <inline-formula><tex-math>${\mu}$</tex-math> </inline-formula>-Synthesis Robust Control

Cited by 55 publications

References 16 publications

Dual-mode predictive control of a rotor suspension system

Dual-mode predictive control of a rotor suspension system

Performance Improvement of Bearingless Multisector PMSM With Optimal Robust Position Control

Experimental Analysis and Full Prediction Model of a 5-DOF Motorized Spindle

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