Application of fuzzy Kalman filter in adaptive control structure of two-mass system

Dróżdż, K.; Janiszewski, Dariusz; Szabat, K.

doi:10.1109/epepemc.2014.6980556

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…In [39], a two-mass system model is applied to develop drive position observers, which is a promising field. The use of state observers for studying and improving the dynamic performance of two-mass systems is considered in [40][41][42]. In [43], oscillation and disturbance damping in the system of a two-mass main drive of a rolling mill is studied.…”

Section: Problem Relevancementioning

confidence: 99%

Method for Defining Parameters of Electromechanical System Model as Part of Digital Twin of Rolling Mill

Gasiyarov,

Radionov,

Loginov

et al. 2023

JMMP

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Creating digital twins of industrial equipment requires the development of adequate virtual models, and the calculation of their parameters is a complex scientific and practical problem. To configure and digitally commission automated drives, two-mass electromechanical system models are used. A promising area in which to implement such models is the development of digital shadows, namely drive position observers. Connecting virtual models for online data exchange predetermines the tightening of requirements for their parameter calculation accuracy. Therefore, developing accessible techniques for calculating electromechanical system coordinates is an urgent problem. These parameters are most accurately defined by experiments. The contribution of this paper is the proposition of a method for defining the two-mass system model parameters using the oscillograms obtained in the operating and emergency modes. The method is developed for the horizontal stand drives of a plate mill 5000 and is supported by numerical examples. The technique is universal and comprises calculating the rotating mass inertia torques, elastic stiffness and oscillation damping coefficients, and the time constants of the motor air gap torque control loop. The obtained results have been applied to the development of the elastic torque observer of the rolling stand’s electromechanical system. A satisfactory coordinate recovery accuracy has been approved for both open and closed angular gaps in mechanical joints. Recommendations are given for the use of the method in developing process parameter control algorithms based on automated drive position observers. This contributes to the development of the theory and practice of building digital control systems and the implementation of the Industry 4.0 concept in industrial companies.

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Section: Problem Relevancementioning

confidence: 99%

Method for Defining Parameters of Electromechanical System Model as Part of Digital Twin of Rolling Mill

Gasiyarov,

Radionov,

Loginov

et al. 2023

JMMP

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“…Synthesizing the controllers and ensuring high ACS performance are important steps of observer R&D. Synthesizing a controller for a two-mass system where only one mass is controlled is not a trivial problem. Several papers including [26][27][28] make use of genetic algorithms with Kalman filters. Systems based on state controllers have been considered in the papers [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Development of an Automatic Elastic Torque Control System Based on a Two-Mass Electric Drive Coordinate Observer

et al. 2021

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Development of control system based on digital twins of physical processes is a promising area of research in the rolling industry. Closed-loop control systems are developed to control the coordinates of two-mass electromechanical systems in order to limit the dynamic loads on the equipment of main rolling lines. These control systems are based on observers (digital shadows) that indirectly detect (reconstruct) the roll speed and the elastic torque of the shaft (spindle) in real time. Notably, observers are required to work fast in order to reconstruct transients attributable to shock (impact) loads. Literature review shows that the known observers, which use complex algorithms to compute coordinates, do not respond fast enough. The paper analyzes the kinematic diagram of Mill 5000, a plate rolling mill. It presents oscillograms that prove that the elastic torque does oscillate as the rolls grip the strip dynamically. The authors hereof have developed an observer that reconstructs the coordinates of the uncontrolled mass (the shaft) and the spindle torque from the parameters of the controlled mass, namely the torque and speed of the motor. The paper further rationalizes an approach that consists of simulating the processes on a model to further directly configure them on the object. The authors analyze the transients of the reconstructed two-mass system coordinates, which are associated with the rolls gripping the strip. The paper compares data against oscillograms recorded on the mill itself. The accuracy is satisfactory. The proposed observer has been used to developed a three-loop automatic speed control system for the uncontrolled mass. Controller configurations are substantiated. The paper shows coordinates obtained by simulation modeling as functions of time. It further presents experiments run on Mill 5000; the conclusions are that the amplitude and oscillations of the elastic torque drop significantly. The paper concludes with recommendations on industrial adoption of the observer and the novel electric drive coordinate control system. Study presented herein substantiates and implements a concept of developing algorithms that solve specific problems and are readily implementable on the existing equipment without need for additional computing devices. The contribution of the paper consists of stating and solving the problem of developing and testing an automatic elastic torque control system for the shaft of a heavy-duty rolling mill. This system has been implemented in the form of algorithms that run in the software of the existing industrial controllers (PLCs). It is simple and performs well. It does not need additional sensors or computers to be implemented, nor does it rely on complex computational algorithms. Such algorithms are based on computational tables that require a priori data on numerous process parameters. In our literature review, we have not come across any industrial implementation of such algorithms on hot-rolling mills.

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“…Popular and interesting algorithms for performing this task are Luenberger state observer [1], [2], Kalman filter [3], [4], and neural-network-based [5] estimator. Applying these methods in control system requires implementation that let both simple initializations as well as easy obtains a result of each iteration.…”

Section: Introductionmentioning

confidence: 99%

DSP implementation of state observers for electrical drive with elastic coupling

Łuczak

Wójcik

2016

ELECTROTECHNICAL REVIEW

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Article presents the results of implementation of three discrete methods of estimation of the state vector of the dynamic system-Luenberger observer, Kalman filter and neural network estimator. Implementation was done in C ++, in an VisualDSP 5.0 environment, assuming the use of algorithms to observe the state of the mechanical part of the electric drive, characterized by a elastic connection with the working machine. Autors had used object-oriented programming technique.

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Application of fuzzy Kalman filter in adaptive control structure of two-mass system

Cited by 6 publications

References 14 publications

Method for Defining Parameters of Electromechanical System Model as Part of Digital Twin of Rolling Mill

Method for Defining Parameters of Electromechanical System Model as Part of Digital Twin of Rolling Mill

Development of an Automatic Elastic Torque Control System Based on a Two-Mass Electric Drive Coordinate Observer

DSP implementation of state observers for electrical drive with elastic coupling

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