Analysis and comparison of performance of permanent magnet servo motors after stator shifting combination

Li, Hui; Liang, Jinling; Zhang, Junming

doi:10.1049/joe.2020.0035

Cited by 2 publications

(2 citation statements)

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“…[17] If a control system could be described with a same format as formula (3) and it meets the qualities (1)(2)(3)(4)(5)(6) in Assumption 1, then the characteristic model of the system could be described by a second-order time-varying difference equation:…”

Section: B Characteristic Modeling Theorymentioning

confidence: 99%

“…Multi-motor servo system has been admitted as a promising technology in turntable fields owing to its reliability and high inertia-ratio [1], [2]. It is commonly used in systems like radar tracking or weapon aiming platforms, which all requires strong driving torque and high tracking precision [3]- [5]. Four-motor servo system has advantages in power supply and fault tolerant, which improves its reliability.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Control of Four Motor Servo Systems Based on Characteristic Model and Gradient Projection Estimator

Gao

Guo

et al. 2020

IEEE Access

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For multi-motor servo system, its complex system model makes controller design difficult and hard to realize in practical situation. To solve this problem, an easily realized adaptive control scheme based on characteristic modeling method and gradient projection estimator is proposed in this article. Firstly, characteristic modeling method is applied into servo systems to obtain a simplified system model, which makes controller design much easier. Also, system's uncertainties will be integrated into three time-varying characteristic parameters, which will be estimated online through gradient projection method. With this estimator, characteristic model can reflect real-time system status accurately but in a simple format. Then, based on characteristic model and parameter estimator, an adaptive controller is proposed to guarantee high track precision and enhance system robustness. The stability of the estimator's updating law and adaptive control law is analyzed, and the effectiveness of the proposed control scheme is proved through simulation and experiments.

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