The paper discuss an effective approach to iterative learning control synthesis for a class of distributed parameter systems described by partial differential equations with biharmonic operator. The study is carried o...
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ISBN:
(纸本)9781728109336
The paper discuss an effective approach to iterative learning control synthesis for a class of distributed parameter systems described by partial differential equations with biharmonic operator. The study is carried out based on the example of transverse displacements in a cantilever beam induced by the external loads. The sufficient conditions for the convergence of the proposed iterative control law are formulated. Also, the resulting control learning scheme supported by effective implementation based on the finite element method was investigated subject to the different configurations of actuator/sensor field.
This paper proposes a domain decomposition scheme as a means for low order modeling of estimators for systems governed by partial differential equations. This entails the decomposition of the state estimator defined o...
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ISBN:
(纸本)9781538679265
This paper proposes a domain decomposition scheme as a means for low order modeling of estimators for systems governed by partial differential equations. This entails the decomposition of the state estimator defined over the entire spatial domain into two separate estimators defined over two non-overlapping subdomains and coupled through the transmission conditions at their boundary. Each estimator is a copy of the original process defined over its subdomain and having an output injection term which is weighted by a filter kernel. Each of the filter kernels is related to the filter kernel of the estimator of the process defined over the entire spatial domain. The sensor providing process information is in the interior of the inner subdomain. Using a hybrid version of the domain decomposition method wherein the kernel of the outer domain is nullified, a significant computational savings can be obtained and is viewed as an alternate for low order approximation of estimators for PDEs. This decoupling facilitates a multi-grid implementation whereby the inner subdomain uses a refined grid as a means of increasing spatial resolution and the outer subdomain where the value of information is minimal, uses a coarse grid. The well-posedness of the proposed hybrid domain decomposition estimator is established and numerical studies of an advection-diffusion PDE over a rectangular domain are presented to provide an appreciation of the domain decomposition methods as a means of low order modeling of estimators for PDEs.
The paper addresses the design of an event-triggering mechanism for a partial differential wave equation posed in a bounded domain. The wave equation is supposed to be controlled through a classical damping term: the ...
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The paper addresses the design of an event-triggering mechanism for a partial differential wave equation posed in a bounded domain. The wave equation is supposed to be controlled through a classical damping term: the first order time derivative of the solution, distributed in the whole domain. In a continuous framework, such a feedback leads to the global exponential stability of the closed-loop system. Here, sufficient conditions based on the use of a suitable Lyapunov functional are proposed to guarantee that an event-triggered distributed damping ensures the exponential stability. Moreover, the designed event-triggering mechanism allows avoiding the Zeno behavior. The 'existence and regularity' prerequisite properties of solutions for the closed loop system are also proven. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Fluidized bed spray agglomeration is a particle formation process in many industrial applications, e.g. pharmaceutical and food processing. The properties of the formed agglomerates, like characteristic volume, signif...
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Fluidized bed spray agglomeration is a particle formation process in many industrial applications, e.g. pharmaceutical and food processing. The properties of the formed agglomerates, like characteristic volume, significantly affect the product quality and can be affected by variation of certain operating parameters. Mathematical modeling not only provides an abstract characterization of the effects of those on the product properties but also supports thorough understanding of the underlying physical and chemical mechanisms. Moreover, it enables application of advanced process analysis, control and intensification schemes. As characteristic properties underlie variations within the ensemble of agglomerates the process can be described as a distributedparameter system, where the resulting model equations are partial differential equations. Adaption to experimental data requires the solution of inverse problems, which tend to be ill-conditioned. As an alternative approach, in this contribution an adaptive identification procedure is presented. Therefore, a modified plant model is run in parallel to the process and adaption rates are chosen based on a Lyapunov-function. The approach is validated in a parametric study for two scenarios: In the first, it is assumed that the structure of the dynamics is fully known, while in the second, this assumption does not hold. It is shown that the proposed approach allows to reconstruct unknown kinetic information of the process dynamics. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
作者:
Liu, PengboYan, PengQilu Univ Technol
Sch Mech & Automot Engn Jinan 250353 Shandong Peoples R China Shandong Univ
Sch Mech Engn Minist Educ Key Lab High Efficiency & Clean Mech Manufacture Jinan 250061 Shandong Peoples R China
This paper investigates the robust repetitive controller design with improved tracking performance for nano-manipulating systems with time delay. In order to handle the time delay caused by the analog-to-digital (A/D)...
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ISBN:
(纸本)9780791859292
This paper investigates the robust repetitive controller design with improved tracking performance for nano-manipulating systems with time delay. In order to handle the time delay caused by the analog-to-digital (A/D) conversion of the capacitive sensors with ultra high precision, we modify the conventional repetitive control structure where the design of low pass filter is formulated as an H... optimization problem. For the purpose of tracking performance improvement, we further modify the structure of the low pass filter by shaping the sensitivity functions of the closed-loop system. With consideration of the existing of model uncertainties, the design of the modified low pass filter is also formulated as an H.. optimization of infinite dimensional systems. The effectiveness of the proposed repetitive control architecture is further verified by real time experiments on a piezo driven nano-stage, where significant tracking performance improvements are demonstrated comparing with the traditional repetitive controller
Flatness-based feed-forward control of solenoid actuators is considered. For precise motion planning and accurate steering of conventional solenoids, eddy currents cannot be neglected. The system of ordinary different...
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Flatness-based feed-forward control of solenoid actuators is considered. For precise motion planning and accurate steering of conventional solenoids, eddy currents cannot be neglected. The system of ordinary differential equations including eddy currents, that describes the nonlinear dynamics of such actuators, is not differentially flat. Thus, a distributedparameter approach based on a diffusion equation is considered, that enables the parametrization of the eddy current by the armature position and its time derivatives. In order to design the feed-forward control, the distributedparameter model of the eddy current subsystem is combined with a typical nonlinear lumped parameter model for the electrical and mechanical subsystems of the solenoid. The control design and its application are illustrated by numerical and practical results for an industrial solenoid actuator. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
In the paper constrained controllability of distributedparameter dynamical system defined in infinite-dimensional domain is considered. Using spectral theory of unbounded differential operators, necessary and suffici...
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ISBN:
(纸本)9781728109336
In the paper constrained controllability of distributedparameter dynamical system defined in infinite-dimensional domain is considered. Using spectral theory of unbounded differential operators, necessary and sufficient conditions constrained controllability are formulated and proved. Remarks and comments on the relationships between different kinds of controllability are also given. Simple illustrative numerical examples of controllable systems are presented.
The purpose of this paper is to compare two methods for stabilisation of a spatially uses the algebraic control theory. As an example, a stabilising controller of a heat conduction in a rod is constructed using both t...
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ISBN:
(纸本)9781728137582
The purpose of this paper is to compare two methods for stabilisation of a spatially uses the algebraic control theory. As an example, a stabilising controller of a heat conduction in a rod is constructed using both these methods.
Model-based experimental designs minimize the experimental effort while maximizing the amount of analyzable experimental data. In this paper, an initial mathematical model of the spatially distributed maturation proce...
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Model-based experimental designs minimize the experimental effort while maximizing the amount of analyzable experimental data. In this paper, an initial mathematical model of the spatially distributed maturation process of tissue engineered heart valves is developed for a model-based experimental design. The model contains the state variables cell amount, collagen concentration and elastin concentration. Based on the developed model, a variance-based sensitivity analysis using Sobol's method is performed. The results indicate that all model parameters influence the model solution, while the variance of the parameters related to cell diffusion comprises an exceeding influence. Consequently, corresponding experiments should especially focus on those parameters. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
This paper exposes a formal result showing that a set of two coupled hyperbolic equations governing the thermal exchanges between a gas passing by a solid is actually close, in a detailed mathematical sense, to a sing...
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This paper exposes a formal result showing that a set of two coupled hyperbolic equations governing the thermal exchanges between a gas passing by a solid is actually close, in a detailed mathematical sense, to a single convection/diffusion equation. Exhaust gas passing by a solid catalyst is a typical example of such a situation. This result, the key derivation steps of which are given here, bridges the gap between the two formulations, which have received distinct types of contributions by the control community in the recent years. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
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