Neural-Network Application for Mechanical Variables Estimation of a Two-Mass Drive System

Orłowska-Kowalska, Teresa; Szabat, K.

doi:10.1109/tie.2007.892637

Cited by 99 publications

(35 citation statements)

References 19 publications

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“…Hence, the transient and steady-state performance can be designed a priori via tuning the parameters −δ i , δ i , c i , λ i0 , and λ i∞ . To introduce prescribed performance, an error transformation is used to transform the original nonlinear system, with the constrained tracking error behavior (12), into an equivalent "unconstrained" one. With this purpose, we define a smooth strictly increasing function T i (z i ) of transformed error z i , which possesses the following properties:…”

Section: Performance Function and Error Transformationmentioning

confidence: 99%

“…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%

“…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. To estimate the motor-side speed for suppressing the torsional vibration, the neuro-fuzzy system is employed [13].…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Performance Function and Error Transformationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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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“…Self-adapting fuzzy control can also be utilized to reduce torsional vibration. A neural network is applied to reconcile load speed and torsional torque to decrease the vibration in a two-inertia system [5]. A method based on a sliding-mode fuzzy controller is also applied to suppress the vibration in a two-inertia system [6].…”

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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“…To overcome the problems, various control strategies have been proposed mainly for controlling two-inertia system [2,3]. In [4] three kinds of typical pole assignments with identical radius/damping coefficient/real part are applied and compar ed, and the merits of each pole-assignment design are concl uded.…”

Section: Introductionmentioning

confidence: 99%

Development of state space model and control design of two-mass system using standard forms

Shahgholian

Etesami

Yousefi

et al. 2011

2011 IEEE 3rd International Conference on Communication Software and Networks

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Ahstract-This paper presents dynamic analysis of a two-mass system using speed controller. In order to improve the dynamic performance, a modified PID (MPID) controller is suggested and compared with only PID controller. The coefficient diagra m method (COM) technique is applied to design controllers in two-mass system. The dynamic analysis is verified by transfer function simulation using Matlab and time domain simulation of the two-mass system. It is seen that the control system has fast speed response and robust stability.

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Neural-Network Application for Mechanical Variables Estimation of a Two-Mass Drive System

Cited by 99 publications

References 19 publications

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

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

Development of state space model and control design of two-mass system using standard forms

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