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Developing a prototype concurrent design tool for composite topside structures

NAVAL ENGINEERS JOURNAL 1997年第3期109卷 279-290页

作者： Dirlik, S Hambric, S Azarm, S Marquardt, M Hellman, A Bartlett, S Castelli, V Steve Dirlik:began his career at the Naval Surface Warfare Center Carderock Division in 1981 as an aerospace engineer co-op student. He completed his bachelor of science degree in aeropace and ocean engineering from Virginia Polytechnic Institute and State University in 1985 and his master of science degree in aerospace engineering from the University of Maryland in 1990. Mr. Dirlik recently completed a master of science program in applied physics at The Johns Hopins University and currently works in the Radar Cross Section and Target Physics Branch of the Signatures Directorate at the Naval Surface Warfare Center Corderoke Division. He has worked on Navy low observable programs since 1990. Stephen Hambric:is a research associate at the Applied Research Laboratory at The Pennsylvania State University. He received his B. S. and M.S. degree in mechanical engineering from Virginia Polytechnic Institute and State University and his D. Sc. in mechnical engineering from the George Washington University. He has worked on several computer aided multidiscikplinary design and optimization projects over the years including an automated propeller design system and a structural acoustic optimization capability. Dr. Shpour Azarm:is currently working as an associate professor with the Design and Manufacturing Group of the Department of Mechanical Engineering at the University of maryland at College Park. Dr Azarm's expertise is in the areas of optimization-based designed and concurrent design and optimization of multidisciplinary systems. He was a consultant at Black & Decker Corporation (summer 1996) and worked as a Navy senior summer faculty fellow (summer 1995) and a NASA summer faculty fellow (summer 1994). He was a visiting scientist at NASA Langley Research Center for Multidisciplinary Analysis and Applied Structural Optimzatiom at the University of Siegen in Germany (spring 1992) and the Design Institute of the Technical University of Denmark (summer 1990). Dr Azarm was an associate technical editor of the ASME Jour

A prototype concurrent engineering tool has been developed for the preliminary design of composite topside structures for modern navy warships. This tool, named GELS for the Concurrent engineering of Layered Structures, provides designers with an immediate assessment of the impacts of their decisions on several disciplines which are important to the performance of a modern naval topside structure, including electromagnetic interference effects (EMI), radar cross section (RCS), structural integrity, cost, and weight. Preliminary analysis modules in each of these disciplines are integrated to operate from a common set of design variables and a common materials database. Performance in each discipline and an overall fitness function for the concept are then evaluated. A graphical user interface (GUI) is used to define requirements and to display the results from the technical analysis modules. Optimization techniques, including feasible sequential quadratic programming (FSQP) and exhaustive search are used to modify the design variables to satisfy all requirements simultaneously. The development of this tool, the technical modules, and their integration are discussed noting the decisions and compromises required to develop and integrate the modules into a prototype conceptual design tool.

关键词： Warships

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System identification for process control: challenges, opportunities, and new directions

System identification for process control: challenges, oppor...

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SICE Annual Conference

作者： D.E. Rivera Department of Chemical Bio and Materials Engineering and Control Systems Engineering Laboratory Arizona State University USA

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Restricted Complexity Approximation of Nonlinear Processes Using a control-Relevant Approach

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IFAC Proceedings Volumes 1996年第1期29卷 6019-6024页

作者： Wei-Ming Ling Daniel E. Rivera Department of Chemical Bio and Materials Engineering and Control Systems Engineering Laboratory Computer-Integrated Manufacturing Systems Research Center Arizona State University Tempe AZ 85287-6006

A two-step nonlinear system identification method using restricted complexity models (RCM) is proposed. In the first step, a parsimonious yet full order Volterra model is identified using the orthogonal least squares method. In the second step, using a control relevant approach, the full order model is further reduced to a restricted complexity model which is more amenable to control design and analysis. The minimization problem in the model reduction step is posed such that it can be solved using general optimization routines. A corresponding two-step model validation procedure is implemented to ensure the closed-loop performance of the resulting model. Effectiveness of the proposed method is illustrated by a polymerization reactor example.

关键词： control oriented models Identification Nonlinear systems Volterra series Reduced-order models

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control-Relevant Input Signal Design for Multivariable System Identification: Application to High-Purity Distillation

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IFAC Proceedings Volumes 1996年第1期29卷 6143-6148页

作者： S.V. Gaikwad D.E. Rivera Department of Chemical Bio and Materials Engineering and CIM Systems Research Center Arizona State University Tempe Arizona 85287-6006

Input signal design issues associated with a discrete-time MIMO control-relevant identification methodology are the focus of this paper. Using a priori information such as the open-loop dominant time constants and desired closed loop speed-of-response, guidelines are presented for the design variables in two periodic, deterministic inputs: the PRBS and Schroeder-phased signals. The guidelines are illustrated on the Weischedel-McAvoy high purity distillation column, which represents an ill-conditioned, highly interactive system. The case study clearly demonstrates that the sensible use of open-loop experimental design and nonparametric estimation, followed by control-relevant parameter estimation, naturally results in a low-order model description capturing the directionality information important for control.

关键词： identification control oriented models distillation columns

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control-ID: an integrated framework for system identification and process control

CONTROL-ID: an integrated framework for system identificatio...

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IEEE International Symposium on Computer Aided control System Design (CACSD)

作者： S.V. Gaikwad D.E. Rivera Department of Chemical Bio and Materials Engineering and Control Systems Engineering Laboratory Computer-Integrated Manufacturing Systems Research Center Arizona State University Tempe AZ USA

control-ID is a computer aided control engineering (CACE) tool serving as a support environment for computer aided control system design (CACSD) in the chemical process industry. The fundamental basis for this tool is the theory of control-relevant system identification, which takes advantage of the interplay between identification and control design. control-ID is implemented using MATLAB on a VAXStation 4000 cluster, which is integrated in real-time to an industrial-scale Honeywell TDC 3000 plant information and control system. control action is computed on the TDC 3000 system using low-order difference equations, which yield superior performance over traditional PID control while resembling the behavior of model predictive control systems. Results from a simulation study using a gas/oil furnace are reported.< >

关键词： control systems System identification Electrical equipment industry Industrial control control engineering computing control engineering chemical processes chemical industry Computer industry control design

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Closed-loop identification of restricted complexity models for feedback/feedforward control using iterative refinement

Closed-loop identification of restricted complexity models f...

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American control Conference (ACC)

作者： S. Bhatnagar D.E. Rivera Department of Chemical Bio and Materials Engineering Control Systems Engineering LaboratoryComputer-Integrated Manufacturing Systems Research Center Arizona State University Tempe AZ USA

A novel technique for closed-loop identification of reduced-order models for combined feedback/feedforward control is presented. For this purpose identification and control design are treated as joint problems for finding models whose intended use is the design of high performance compensators. The problem is solved by an iterative scheme of repeated identification and control design. The scheme involves the following steps: 1) injecting a dither signal at the manipulated variable and collecting closed-loop (u,y) data, 2) prefiltering the closed-loop data to emphasize the frequencies most important for control and 3) low order parameter estimation and control design.

关键词： Open loop systems Transfer functions control systems control design Predictive models State feedback systems engineering and theory Frequency estimation Optimal control Tuning

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Closed-Loop System Identification of Restricted Complexity Models Using Iterative Refinement

Closed-Loop System Identification of Restricted Complexity M...

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American control Conference (ACC)

作者： Daniel E. Rivera Saurabh Bhatnagar Department of Chemical Bio and Materials Engineering and Control Systems Engineering Laboratory Computer-Integrated Manufacturing Systems Research Center Arizona State University Tempe AZ USA

A novel technique for identifying reduced-order models in the closed-loop is presented. The method arrives at a process model and its corresponding compensator in an iterative fashion by introducing a series of step chan at the manipulated variable. The bias introduced into the identification data set by the closed-loop system, coupled with a control-relevant prefilter, yields a model whose corresponding control system improves its performance at every step. The method is appealing to chemical engineering practitioners because it combines the tasks of system identification with controller commissioning to produce a simple-to-use yet reliable autotuning procedure.

关键词： System identification control systems Error correction control system synthesis chemical engineering systems engineering and theory control design Frequency estimation Predictive models Open loop systems

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A Knowledge-Based Framework for controller Structure Selection In Intelligent Process control

A Knowledge-Based Framework for Controller Structure Selecti...

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American control Conference (ACC)

作者： Daniel E. Rivera Abhijit Desai Terrence Beaumariage Chell Roberts Department of Chemical Bio and Materials Engineering Arizona State University Tempe Arizona 85287-6006 Control Systems Engineering Laboratory CIM Systems Research Center Department of Industrial and Management Systems Engineering Arizona State University Tempe AZ USA

Intelligent control principles are used to address the issue of combinatorial complexity in controller structure selection for plantwide control, i.e., the variable seection and pairing problem. A knowledge-based framework combining symbolic representation of heuristics and designer expertise, simple analytical "ranking" criteria, and more elaborate computational routines for selection and pairing is described in this paper. The use of an object-oriented structure leads to a system that is flexible, extensible, and multipurpose, which are features necessary if industrial engieering organizations are to adopt this tool on a routine basis.

关键词： Intelligent control Intelligent structures Process control control systems Electrical equipment industry Design engineering chemical industry Knowledge engineering Industrial control systems engineering and theory

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Experimental Design for Robust Process control Using Schroeder-Phased Input Signals

Experimental Design for Robust Process Control Using Schroed...

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American control Conference (ACC)

作者： Daniel E. Rivera Xiangqin Chen David S. Bayard Department of Chemical Bio and Materials Engineering Arizona State University Tempe AZ USA Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA

The use of Schroeder-phased, multisinusoid input signals for system identification in the process industries is described in this paper. We show that the Schroeder-phased input displays a number of significant propert... 详细信息

关键词： Design for experiments Robust control Process control Signal processing Frequency estimation Signal design chemical processes chemical technology Design engineering System identification

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Digital PID controller tuning using prefiltered ARX estimation

Digital PID controller tuning using prefiltered ARX estimati...

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IEEE Conference on Decision and control

作者： D.E. Rivera S.V. Gaikwad Department of Chemical Bio and Materials Engineering and Control Systems Engineering Laboratory Computer-Integrated Manufacturing Systems Research Center Arizona State University Tempe AZ USA

The use of prefiltered ARX (autoregressive with exogenous input) estimation to obtain reduced-order models that satisfy the Prett-Garcia (1988) digital PID (proportional plus integral plus derivative) tuning rules is described. The design of the prefilter is performed systematically using the engineer's desired control requirements and the setpoint/disturbance characteristics of the problem. The benefits of this method are shown for a fourth-order system.< >

关键词： Three-term control Digital control Reduced order systems Design engineering systems engineering and theory control systems

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