A Modified Fuzzy Luenberger Observer for a Two-Mass Drive System

Szabat, K.; Tran-Van, Than; Kaminski, Marcin

doi:10.1109/tii.2014.2327912

Cited by 74 publications

(35 citation statements)

References 32 publications

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“…In Orlowska-Kowalska and Szabat (2008), an adaptive sliding neuro-fuzzy speed controller is presented, and the torsional vibrations are successfully damped in the control structure with only one feedback from the motor speed. According to the problem that the flexible modes affect the performances of the drive, a fuzzy Luenberger observer is designed (Szabat, Tran-Van, & Kamiski, 2015), and the dynamic states are recognized. Kaminski and Orlowska-Kowalska (2015) analyzed and compared four types of neural-adaptive controllers and apply the methods for a drive system with an elastic mechanical coupling.…”

Section: Introductionmentioning

confidence: 99%

Speed tracking control for the gimbal system with harmonic drive

Ning

Han

2017

Control Engineering Practice

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Section: Introductionmentioning

confidence: 99%

Speed tracking control for the gimbal system with harmonic drive

Ning

Han

2017

Control Engineering Practice

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“…Furthermore, artificial intelligent techniques are also utilized to suppress torsional vibration of the two-inertia system [12,13,14,15,16,17]. A torsional vibration control approach is presented in [12], which is based on the additional feedback from the torsional torque and the load-side speed estimated by a neural network estimator.…”

Section: Introductionmentioning

confidence: 99%

“…In [14], an adaptive sliding-mode neuro-fuzzy speed controller based on model reference adaptive structure is used to suppress torsional vibration. The modified fuzzy Luenberger observer based on the difference between the electromagnetic and estimated shaft torque [15] is reported.…”

Section: Introductionmentioning

confidence: 99%

Robust tracking and vibration suppression for nonlinear two-inertia system via modified dynamic surface control with error constraint

Wang

Ren

et al. 2016

Neurocomputing

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. Robust tracking and vibration suppression for nonlinear two-inertia system via modified dynamic surface control with error constraint. Neurocomputing, 203,[73][74][75][76][77][78][79][80][81][82][83][84][85] University of Bristol -Explore Bristol Research General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. AbstractThis paper proposes a modified dynamic surface control (DSC) for speed tracking and torsional vibration suppression for two-inertia systems with nonlinear friction. The proposed controller contains two parts: tracking controller and friction compensator. The tracking controller is designed by modifying dynamic surface control, which replaces the traditional first-order filter with a high-gain tracking differentiator (HGTD). Meanwhile, an improved prescribed performance function with error constraint is also presented and incorporated into DSC design. As for the friction compensator, the nonlinear nonsmooth friction is parameterized and then compensated using echo state neural networks (ESNs). The state observer with friction compensation is used to estimate unmeasurable load speed and torsional torque. The effectiveness of proposed control scheme is verified by simulation and experiment results.

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“…An immersion and invariance approach is applied to suppress the vibration in two-mass systems [20]. A fuzzy Luenberger observer to ensure that fitting observer closed-loop poles is used for a system with flexible joint [21]. Jong-Sun Ko presented a neural-load torque compensation method to obtain good precision position control [22].…”

Section: Introductionmentioning

confidence: 99%

Low-frequency Vibration Suppression Control in a Two-mass System by Using a Torque Feed-forward and Disturbance Torque Observer

Li¹,

Xu²,

Wu³

2016

Journal of Power Electronics

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Given that elastic connection is often used between motor drives and load devices in industrial applications, vibration often occurs at the load side. Vibration suppression is a crucial problem that needs to be addressed to achieve a high-performance servo-control system. Scholars have presented many strategies to suppress vibration. In this study, we propose a method to diminish vibration by using a torque feed-forward and disturbance torque observer. We analyze the system performance and explain the principle of the proposed vibration suppression method based on the transfer functions of the system. The design of controller parameters is another important issue in practical applications. We accordingly provide a succinct outline of the design specifications based on the coefficient diagram method. Furthermore, we build a model under the Simulink environment and conduct experiments to validate the proposed method. Results show that speed and position vibrations are successfully suppressed by the proposed method.

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A Modified Fuzzy Luenberger Observer for a Two-Mass Drive System

Cited by 74 publications

References 32 publications

Speed tracking control for the gimbal system with harmonic drive

Speed tracking control for the gimbal system with harmonic drive

Robust tracking and vibration suppression for nonlinear two-inertia system via modified dynamic surface control with error constraint

Low-frequency Vibration Suppression Control in a Two-mass System by Using a Torque Feed-forward and Disturbance Torque Observer

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