scholarly journals Adaptive control for a rewinding process of a roll-to-roll system

2015 ◽  
Vol 18 (3) ◽  
pp. 16-27
Author(s):  
Chi Quoc Nguyen ◽  
Hung Nguyen
Keyword(s):  
Adaptive Control ◽  
Asymptotic Stability ◽  
Control Force ◽  
Roll To Roll ◽  
Transverse Vibrations ◽  
Control Scheme ◽  
Control Schemes ◽  
Transport Velocity ◽  
Uniformly Asymptotic Stability ◽  
Roll System

In this paper, transverse vibration and transport velocity controls of a moving web in a rewinding section of a roll to roll system are investigated. The moving web is modeled as an axially moving beam. Two independent adaptive control schemes are proposed. The first control scheme using a control force exerted from a hydraulic actuator is to suppress transverse vibrations of the moving web of unknown mass per unit length under a spatially varying tension and a time-varying transport velocity. The second control scheme using a control torque applied to the rewind roller is to maintain the transport velocity levels of the moving web in spite of disturbances such as the variations of rotating elements and unknown bearing friction. From the decentralized control viewpoint, the uniformly exponential stability for suppressing the transverse vibrations and the uniformly asymptotic stability for maintaining the transport velocity are achieved. However, as a whole, the uniformly asymptotic stability is concluded. Simulations for demonstrating the effectiveness of the proposed control schemes are presented.

scholarly journals Kalman-Filter-Based Tension Control Design for Industrial Roll-to-Roll System

Algorithms ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 86 ◽  
Author(s):  
Hyeongjin Hwang ◽  
Jehwon Lee ◽  
Sangjune Eum ◽  
Kanghyun Nam
Keyword(s):  
Kalman Filter ◽  
Control Method ◽  
Tracking Error ◽  
Tension Control ◽  
External Disturbances ◽  
Roll To Roll ◽  
Control Scheme ◽  
Roll System ◽  
The Web

This paper presents a robust and precise tension control method for a roll-to-roll (R2R) system. In R2R processing, robust and precise tension control is very important because improper web tension control leads to deterioration in the quality of web material. However, tension control is not easy because the R2R system has a model variation in which the inertia of the web in roll form is changed and external disturbances caused by web slip and crumpled web. Therefore, a disturbance observer (DOB) was proposed to achieve robustness against model variations and external disturbances. DOB is a robust control method widely used in various fields because of its simple structure and excellent performance. Moreover, the web passes through various process steps to achieve the finished product in the R2R process. Particularly, it is important to track the tension when magnitude of the tension varies during process. Feedforward (FF) controller was applied to minimize the tracking error in the transient section where tension changes. Moreover, the signal processing of a sensor using the Kalman filter (KF) in the R2R system greatly improved control performance. Finally, the effectiveness of the proposed control scheme is discussed using experimental results.

Adaptive Control of Robot Manipulators Including Motor Dynamics

1995 ◽  
Vol 209 (3) ◽  
pp. 207-217
Author(s):  
H Yu ◽  
S Lloyd
Keyword(s):  
Adaptive Control ◽  
Control Structure ◽  
Robot Manipulators ◽  
Control Law ◽  
Task Space ◽  
Control Scheme ◽  
Control Schemes ◽  
The Stability ◽  
Adaptive Control Law ◽  
Motor Dynamics

An adaptive control scheme for robot manipulators including motor dynamics is proposed in this paper. The proposed scheme avoids the assumption that the values of motor parameters are known which is required in reference (13). An exponential control law is first developed under the assumption of no uncertainty. This forms a controller structure for the adaptive control. Using this control structure, a full-order adaptive control law is proposed to overcome parameter uncertainty for both robot link and motor. The stability analysis is in the Lyapunov stability sense. The method is further extended to the task space. Extensive simulations are performed to compare the different control schemes.

2B11 Adaptive control for a rewinding process of a high-speed roll-to-roll system

2010 ◽  
Vol 2010 (0) ◽  
pp. _2B11-1_-_2B11-10_
Author(s):  
Quoc Chi Nguyen ◽  
Quang Hieu Ngo ◽  
Keum-Shik Hong
Keyword(s):  
Adaptive Control ◽  
High Speed ◽  
Roll To Roll ◽  
Roll System

Cluster synchronization in fractional-order network with nondelay and delay coupling

2021 ◽  
pp. 2250006
Author(s):  
Yi Wang ◽  
Zhaoyan Wu
Keyword(s):  
Adaptive Control ◽  
Fractional Order ◽  
Cluster Synchronization ◽  
Sufficient Condition ◽  
Fractional Order Systems ◽  
Adaptive Controllers ◽  
Control Scheme ◽  
Control Schemes ◽  
The Stability ◽  
Adaptive Control Scheme

In this paper, cluster synchronization for fractional-order complex network with nondelay and delay coupling is investigated. Based on the stability theory of fractional-order systems and the properties of fractional derivative, both static and adaptive control schemes are adopted to design effective controllers. Sufficient condition for achieving cluster synchronization about static controllers is provided. From the condition, the needed feedback gains can be estimated by simple calculations. Further, adaptive control scheme is introduced to design unified controllers. Noticeably, in the adaptive controllers, the feedback gains need not be calculated in advance and can adjust themselves to the needed values according to updating laws. Finally, numerical simulations are given to demonstrate the correctness of the obtained results.

scholarly journals Feedback-Linearization-Based Fuel-Cell Adaptive-Control Paradigm in a Microgrid Using a Wavelet-Entrenched NeuroFuzzy Framework

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1850
Author(s):  
Muhammad Awais ◽  
Laiq Khan ◽  
Saghir Ahmad ◽  
Mohsin Jamil
Keyword(s):  
Adaptive Control ◽  
Fuel Cell ◽  
Feedback Linearization ◽  
Solid Oxide ◽  
Performance Parameters ◽  
Nonlinear Functions ◽  
Adaptive Feedback ◽  
Control Paradigm ◽  
Control Scheme ◽  
Control Schemes

The article portrays an adaptive control paradigm for the swift response of a solid-oxide fuel cell (SOFC) in a grid-connected microgrid. The control scheme is based on an adaptive feedback-linearization-embedded fully recurrent NeuroFuzzy Laguerre wavelet control (FBL-FRNF-Lag-WC) framework. The nonlinear functions of feedback linearization (FBL) are estimated using a fully recurrent NeuroFuzzy Laguerre wavelet control (FRNF-Lag-WC) architecture with a recurrent Gaussian membership function in the antecedent part and a recurrent Laguerre wavelet in the consequent part, respectively. The performance of the proposed control scheme is validated for various stability, quality, and reliability factors obtained through a simulation testbed implemented in MATLAB/Simulink. The proposed scheme is compared against adaptive NeuroFuzzy, PID, and adaptive PID (aPID) control schemes using different performance parameters for a grid-connected load over 24 h.

Adaptive Control Scheme for Coupled Tank Process

2018 ◽  
pp. 89-95
Author(s):  
Vinodhini M.
Keyword(s):  
Adaptive Control ◽  
Nonlinear Behaviour ◽  
Simulation Studies ◽  
Input Output ◽  
Control Scheme ◽  
Direct Model ◽  
Multivariable Process ◽  
Model Reference Adaptive ◽  
Siso System ◽  
Adaptive Control Scheme

The objective of this paper is to develop a Direct Model Reference Adaptive Control (DMRAC) algorithm for a MIMO process by extending the MIT rule adopted for a SISO system. The controller thus developed is implemented on Laboratory interacting coupled tank process through simulation. This can be regarded as the relevant process control in petrol and chemical industries. These industries involve controlling the liquid level and the flow rate in the presence of nonlinearity and disturbance which justifies the use of adaptive techniques such as DMRAC control scheme. For this purpose, mathematical models are obtained for each of the input-output combinations using white box approach and the respective controllers are developed. A detailed analysis on the performance of the chosen process with these controllers is carried out. Simulation studies reveal the effectiveness of proposed controller for multivariable process that exhibits nonlinear behaviour.

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