This paper examines the problem of robust stabilization via static output feedback for a class of uncertain linear state-delayed systems. systems with a constant time-delay and subject to norm-bo~nded parameter uncert...
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This paper examines the problem of robust stabilization via static output feedback for a class of uncertain linear state-delayed systems. systems with a constant time-delay and subject to norm-bo~nded parameter uncertainty in the state matrices of the ʻcurrentʼ and ʻdelayedʼ states and in the input matnx are considered. We develop a method of robust stabilization based. on linear matrix inequalities. The proposed design method incorporates information on the size, or an upper-bound, of the time-delay. The case ofsystems with polytopic uncertainty is also discussed.
A systematic approach for the steady-state operation analysis of chemical processes is *** method affords the possibility of taking operation resilience into consideration during thestage of process *** may serve the ...
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A systematic approach for the steady-state operation analysis of chemical processes is *** method affords the possibility of taking operation resilience into consideration during thestage of process *** may serve the designer as an efficient means for the initial screening ofalternative design *** ideal heat integrated distillation column(HIDiC),without any reboileror condenser attached,is studied throughout this *** has been found that among the various va-riables concerned with the ideal HIDiC,feed thermal condition appears to be the only factor exertingsignificant influences on the interaction between the top and the bottom control *** is expected when the feed thermal condition approaches *** number of stages andheat transfer rate are essential to the system ability of disturbance ***,more stagesand higher heat transfer rate ought to be ***,too many stages and higher heat transfer ratemay increase the load of the
The selection of inputs and outputs for control design are considered in this paper. Previous work by Cao and Biss [1] introduced the input effectiveness (IE) measure as a pre-screening tool for selecting inputs. An a...
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ISBN:
(纸本)9783952426906
The selection of inputs and outputs for control design are considered in this paper. Previous work by Cao and Biss [1] introduced the input effectiveness (IE) measure as a pre-screening tool for selecting inputs. An alternative and more efficient proof of these results is presented here using the concept of projection. This new approach for the derivation also helps when extending these ideas to output selection. The relationships between IE and the output effectiveness (OE) measures and the minimum singular value of a particular process configuration are determined. These yield four new screening criteria that can be used to indicate the scheme with the largest minimum singular value of all alternative schemes of the same dimension. Three examples are given to illustrate the usage of these criteria.
This paper describes the analysis results of the dynamic characteristics of coal grinding mills used in a large coal-fired power generation unit. The aim of the work is to develop a knowledge-based expert power plant ...
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This paper describes the analysis results of the dynamic characteristics of coal grinding mills used in a large coal-fired power generation unit. The aim of the work is to develop a knowledge-based expert power plant operator support/control system (KBOSS) to improve power plant process monitoring and control. To achieve this it is necessary to develop a mill model that is accurate under a wide range of dynamic conditions. As the mill modeling tests were carried out in various different operating conditions, including some abnormal conditions, the test results obtained provide very important information for mill control, modeling and the system knowledge base development.
For a partially controlled system, the partial disturbance gain and partial reference gain are useful tools to select the uncontrolled outputs. However, traditionally these tools have to be calculated scheme-by-scheme...
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ISBN:
(纸本)0780341872
For a partially controlled system, the partial disturbance gain and partial reference gain are useful tools to select the uncontrolled outputs. However, traditionally these tools have to be calculated scheme-by-scheme and lead to a combinatorial problem for measurement selection. To avoid this type of problem, new plant-oriented expressions are derived for these measures. After analyzing both the fully and partially controlled systems, it is shown that the control errors of these two systems are linked by the output effectiveness measure; another useful measurement selection tool. The HDA case study presented shows that the new measures provide efficient tools for measurement selection for partially controlled systems.
作者:
S. AdusumilliD.E. RiveraDepartment of Chemical
Bio and Materials Engineering and Control Systems Engineering Laboratory Manufacturing Institute Arizona State University Tempe Arizona 85287-6006 phone (602)-965-9476
This paper describes ASUtune , a MATLAB program for combined identification and PID controller design. By integrating identification with PID controller design, the method displays functionality that is often demanded...
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This paper describes ASUtune , a MATLAB program for combined identification and PID controller design. By integrating identification with PID controller design, the method displays functionality that is often demanded by the practicing engineering community. The major steps in this integrated methodology are, experimental design and execution, high-order ARX estimation, and control-relevant model reduction leading to models that comply with the IMC-PID tuning rules. These PID tuning rules are compatible with the Honeywell TDC 3000 distributed control system.
作者:
D.E. RiveraS. AdusumilliDepartment of Chemical
Bio and Materials Engineering and Control Systems Engineering Laboratory Manufacturing Institute Arizona State University Tempe Arizona 85287-6006 phone:(602)-965-9476
This paper describes an integrated identification and control design methodology that begins with dynamic modeling from plant data and concludes with parameter settings for high performance PID controllers. By integra...
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This paper describes an integrated identification and control design methodology that begins with dynamic modeling from plant data and concludes with parameter settings for high performance PID controllers. By integrating identification with PID controller design, the method displays functionality that is often demanded by the practicing engineering community. The major steps in this integrated methodology are: experimental design and execution, high-order ARX estimation, and control-relevant model reduction leading to models that comply with the IMC-PID tuning rules. A high-order ARX model estimate serves as an intermediate model for control-relevant model reduction purposes; furthermore, the low computational effort associated with ARX estimation means that simple statistical tools (such as cross validation) can be used to efficiently determine a suitable structure for the ARX model without substantial user intervention. The methodology is demonstrated on a delayed time plant subjected to significant drift (i.e., a disturbance represented by an autoregressive integrated noise model).
作者:
Wei-Ming LingDaniel E. RiveraDepartment of Chemical
Bio and Materials Engineering and Control Systems Engineering Laboratory Manufacturing Institute Arizona State University Tempe AZ 85287-6006 phone:(602)-965-9476
This paper presents a correlation analysis approach for estimating impulse response coefficients of multivariable systems where inputs and/or measured disturbances are allowed to be correlated with each other. The res...
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This paper presents a correlation analysis approach for estimating impulse response coefficients of multivariable systems where inputs and/or measured disturbances are allowed to be correlated with each other. The resulting estimator forms a simple linear equation set for which a simple closed form solution can be obtained, and due to the nonparametric nature of the estimator, the problem of selecting proper model structures encountered in parametric methods is avoided. These characteristics make the estimator very appropriate as a preliminary estimation step to more detailed parametric methods. Two other applications of the correlation analysis estimator include non-zero transfer function determination in multivariable systems and online identification experiment monitoring. The effectiveness of the proposed methods is illustrated on industrial data.
In this paper, we propose a MIMO system identification method utilizing an orthogonal multifrequency input perturbation which we call the “zippered᾿ Schroeder-phased signal. Guidelines for the design of a plant-frien...
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In this paper, we propose a MIMO system identification method utilizing an orthogonal multifrequency input perturbation which we call the “zippered᾿ Schroeder-phased signal. Guidelines for the design of a plant-friendly “zippered᾿ Schroeder-phased input are presented based on a priori knowledge of open-loop time constants and closed-loop system response requirements of the system to be identified. A frequency response estimate is then obtained by applying discrete Fourier transforms (DFTs) to the data. control-relevant parameter estimation via a frequency-weighted curvefitting problem formulation tailored for orthogonal signal perturbations is presented. Application of the methodology is shown for the case of Model Predictive control of a high purity binary distillation column, a nonlinear, highly interactive system.
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