Abstract This paper addresses the experimental identification of a servo actuator which is used in many industrial applications. Because the system consisted of electrical and mechanical components, the behavior of th...
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Abstract This paper addresses the experimental identification of a servo actuator which is used in many industrial applications. Because the system consisted of electrical and mechanical components, the behavior of the system was nonlinear. In addition, the under load behavior of this servo was different. The load torque was considered as the input and a two input-one output model was presented for this servo actuator. Special focus was given in order to present a simple model for this servo actuator. The comparison between simulation and experimental results showed the effectiveness of the propose model. The model can be applied as a reference for characterizing different designs and future control strategies.
Abstract This paper presents theoretical and experimental results of a newly developed automaticcontroller tuning algorithm called Robust Estimation for automaticcontroller Tuning (REACT) to tune a linear feedback c...
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Abstract This paper presents theoretical and experimental results of a newly developed automaticcontroller tuning algorithm called Robust Estimation for automaticcontroller Tuning (REACT) to tune a linear feedback controller to the unknown spectrum of disturbances present in a feedback loop. With model uncertainty and controller perturbations described in (dual) Youla parametrizations, the REACT algorithm allows recursive least squares based tuning of a feedback controller in the presence of model uncertainty to minimize the variance of control performance related signal. It is shown how stability of the feedback can be maintained during adaptive regulation, while simulation and experimental results on a mechanical test bed of an active suspension system illustrate the effectiveness of the algorithm for vibration isolation of periodic disturbances with unknown and varying frequencies.
For more clear understanding of the measurand, enough information must be obtained in a limited time and space. an improved particle swarm optimization (IPSO) is proposed, and the attempt to use an IPSO algorithm for ...
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Wireless capsule endoscopy (WCE) has been widely adopted to diagnose diseases in human intestine on account of its convenience and invasiveness to the patients. Due to complicated environment of the intestine and intr...
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Wireless capsule endoscopy (WCE) has been widely adopted to diagnose diseases in human intestine on account of its convenience and invasiveness to the patients. Due to complicated environment of the intestine and intrinsic restrictions of the equipment in terms of image acquisition and transmission, however, raw WCE images are often blurred and noise contaminated. In this paper, we report several new developments for the restoration of color WCE images in a total variation (TV) minimization framework. Specifically, the monotone fast iterative shrinkage/thresholding algorithm combined with the fast gradient projection algorithm, proposed recently by Beck and Teboulle, is extended to deal with vector-valued (e.g. color) images. The new algorithm also incorporates a bisection technique to tune the weighting parameter of the TV-Frobenius objective function to its optimal value quickly and accurately. Experimental results are presented to demonstrate the performance of the proposed algorithm.
The principal lateral motion of an aircraft is described by a minimum of fourth order coupled state variable model. It is interesting to investigate how a decoupling controller can be designed. The Youla-parametrizati...
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ISBN:
(纸本)9780889868632
The principal lateral motion of an aircraft is described by a minimum of fourth order coupled state variable model. It is interesting to investigate how a decoupling controller can be designed. The Youla-parametrization is a simple method to design controllers. The KB-parametrization is a successful extension of this method for two-degree-of freedom (2DOF) systems. The paper extends this methodology for multivariable case and applies to the decoupling lateral control.
Electrical Impedance Tomography (EIT) has been the subject of intensive research since its development in the early 1980s by Barber and Brown at the Department of Medical Physics and Clinical engineering, Hallamshire ...
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ISBN:
(纸本)9789898425355
Electrical Impedance Tomography (EIT) has been the subject of intensive research since its development in the early 1980s by Barber and Brown at the Department of Medical Physics and Clinical engineering, Hallamshire Hospital in Sheffield (UK). In particular, pulmonary measurement has been the focus of most EIT related research. One of the relatively recent advances in EIT is the development of an absolute EIT system (aEIT) which can estimate absolute values of lung resistivity and lung volumes. However, there is still active research in the area of validating and improving the accuracy and consistency of the aEIT estimation of lung volumes towards characterising the system as suitable for clinical use. In this paper we present a new approach based on Computational Intelligence (CI) modelling to model the 'Resistivity - Lung Volume' relationship that will allow more accurate lung volume predictions. Eight (8) healthy volunteers were measured simultaneously by the Sheffield aEIT system and a Spirometer and the recorded results were used to develop subject-specific Neural-Fuzzy models able to predict absolute values of lung volume based only on absolute lung resistivity data. The developed models show improved accuracy in the prediction of lung volumes, as compared with the original Sheffield aEIT system. However the interindividual differences observed in the subject-specific modelling behaviour of the 'Resistivity-Lung Volume' curves suggest that a model extension is needed, whereby the modelling structure auto-calibrates to account for subject (or patient-specific) inter-parameter variability.
Industrial Wireless communications is emerging technology after the Fieldbus in industrial field. For industrial control application with wireless industrial technologies, the WIA-PA standard defines the protocol suit...
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In this paper, we consider the regulation problem for uncertain linear discrete time systems with bounded disturbance, bounded input and bounded output. Based on the input-output representation, an extended state spac...
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ISBN:
(纸本)9781612848006
In this paper, we consider the regulation problem for uncertain linear discrete time systems with bounded disturbance, bounded input and bounded output. Based on the input-output representation, an extended state space model is constructed via the delayed inputs and outputs of the systems and hence there is no need for any estimate of the unmeasured states. The control is obtained using an interpolation technique, which assures feasibility and a robustly asymptotically stable closed loop behavior.
The paper analyzed and model of a fault tolerant electromechanical controlled worm gear driven fuel shut off valve for aerospace application. The analysis is mainly on design a reduced order fractional controller. Thi...
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