作者:
NYER, EKSENZ, CDEvan K. Nyer is an expert in the research and application of technology to ground water cleanup. As vice president of technical resources with Geraghty & Miller Inc. (14497 N. Dale Mabry Hwy
Ste. 115 Tampa FL 33618) he is responsible for maintaining and expanding Geraghty & Miller's technical expertise in geology/ hydrogeology engineering modeling risk assessment bioremediation and many other areas. He also provides expertise in engineering services includins the desisn of treatment systems for contaminated water sites throughout the United States. He has designed and installed more than 100 ground water and soil remediation systems. He is a member of the Water Pollution Control Federation the National Ground Water Association the American Institute of Chemical Engineers and the American Society of Civil Engineers. Charles D. Senz
a senior geologist with Geraghty & Miller Inc. in Denver Colorado has more than 14 years of experience as a geologist including 8 years in the environmental field. He has managed projects performed extensive field work and written numerous reports for various hazardous waste sites CERCLA and RCRA sites and hydrocarbon-contaminated sites in the Rocky Mountain region. Senz has experience at sites impacted by volatile and semivolatile organic compounds chlorinated solvents petroleum hydrocarbons PCBs pesticides and herbicides metals and other inorganic compounds and acids and strong bases. He has also conducted and managed environmental site assessments for residential properties small and large industrial properties warehouses hotels office buildings natural gas production facilities medical facilities photo-processing facilities and large tracts of vacant land.
Grey box modeling is a widely used term, which presently reflects that both a priori and experimental knowledge is being incorporated into the model building process. A brief investigation into various uses of grey bo...
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Grey box modeling is a widely used term, which presently reflects that both a priori and experimental knowledge is being incorporated into the model building process. A brief investigation into various uses of grey box modeling approaches reveals that they mainly differ with respect to the required model accuracy. The goal of the model application also has to be considered in the model building, since it constrains the necessary accuracy required by the model. In this paper these two viewpoints are combined thus leading to a proposed new definition of grey box modeling.
作者:
S. BhatnagarD.E. RiveraDepartment 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 fin...
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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.
作者:
S.V. GaikwadD.E. RiveraDepartment 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 controlengineering (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...
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control-ID is a computer aided controlengineering (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 controlsystems. Results from a simulation study using a gas/oil furnace are reported.< >
A graph-theoretic method for integration of process and control system (IPCS) syntheses has been proposed in the present paper. The foundation of this integration is a well-established, graph-theoretic approach to pro...
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A graph-theoretic method for integration of process and control system (IPCS) syntheses has been proposed in the present paper. The foundation of this integration is a well-established, graph-theoretic approach to process synthesis in conjunction with the analysis of structural controllability based on digraph-type process models. A directed bipartite graph, the CP-graph, has been introduced for unambiguous representation of an IPCS structure. The notion of CP-graph has given rise to a set of axioms for describing the combinatorially feasible and controllable structures. The maximal controllable structure of an IPCS synthesis problem has been defined as the union of combinatorially feasible and controllable IPCS structures; obviously, the optimal IPCS structure must be a substructure of this maximal controllable structure. Thus, the mathematical programming model, e.g., MINLP model, of an IPCS synthesis problem should be derived from the maximal controllable structure. The fundamental combinatorial algorithm of IPCS synthesis, i.e., algorithm CMSG, for identifying this maximal controllable structure has been formulated. The complexity of this algorithm has been proved to be polynomial on the size of the problem; its efficacy is illustrated with a relatively simple example. The resultant IPCS structures are compared with the structures synthesized without considering their controlsystems.
A controller performance index developed by Desborough and Harris (1992) is proposed as a fault detection technique for the on-line monitoring of feedback controlsystems. An important theoretical advantage of this ap...
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A controller performance index developed by Desborough and Harris (1992) is proposed as a fault detection technique for the on-line monitoring of feedback controlsystems. An important theoretical advantage of this approach is that the performance index can distinguish between process variability due to external sources (e.g. load or setpoint changes) and variability due to a significant change in the feedback loop. The feasibility of the new approach is demonstrated via a simulation study for an air duct heating coil.
The primary objective of building controlsystems is to provide comfortable, quality air to the building interior, while minimizing heating and cooling loads and providing a high degree of reliability. Improved proces...
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The primary objective of building controlsystems is to provide comfortable, quality air to the building interior, while minimizing heating and cooling loads and providing a high degree of reliability. Improved process monitoring and fault detection is a promising approach for meeting this objective. In this paper, the feasibility of using statistical quality control (SQC) charts for process monitoring in HVAC applications is evaluated via a simulation study for a common subsystem, an air heating coil.
作者:
MOYER, EEOSTENDORF, DWKAMPBELL, DHXIE, YFEllen E. Moyer (ENSR Consulting and Engineering
35 Nagog Park Acton MA 01720) is a senior environmental engineer at ENSR Consulting and Engineering in Acton Massachusetts. Her research interests include bioremediation air sparging soil venting and analytical modeling of subsurface contamination. Moyer is a registered Professional Engineer with an M.S. in environmental engineering and a Ph.D. in civil engineering from the University of Massachusetts at Amherst and a member of the National Ground Water Association and the American Society of Civil Engineers. David W. Ostendorf (Civil Engineering Department
University of Massachusetts Amherst MA 01003) is an associate professor in the environmental engineering program of the Civil Engineering Department of the University of Massachusetts at Amherst. His research interests include unconfined aquifer contamination hazardous waste site remediation and analytical modeling of problems in environmental fluid mechanics. Ostendorf is a registered Professional Engineer and a member of the American Geophysical Union American Society of Civil Engineers Soil Science Society of America Water Pollution Control Federation and Association of Environmental Engineering Professors as well as the National Ground Water Association. Don H. Kampbell (Robert S. Kerr Environmental Research Laboratory
Ada OK 74820) is a research chemist at the U.S. EPA Robert S. Kerr Environmental Research Laboratory in Ada Oklahoma. His research interests include gas chromatog- raphy GC/mass spectrometry industrial waste processes soil bioreactor systems aquifer biorestoration and soil gas measurements. Kampbell is a certified Professional Soil Scientist and a registered Professional Engineer as well as a member of the Soil Science Society of America and the American Chemical Society. Yuefeng Xie (Civil Engineering Department
University of Massachusetts Amherst MA 01003) is a postdoctoral research associate in the environmental engineering program of the Civil Engineering Depart
Soil gas samples from intact soil cores were collected on adsorbents at a field site, then thermally desorbed and analyzed by laboratory gas chromatography (GC). Vertical concentration profiles of predominant vapor ph...
Soil gas samples from intact soil cores were collected on adsorbents at a field site, then thermally desorbed and analyzed by laboratory gas chromatography (GC). Vertical concentration profiles of predominant vapor phase petroleum hydrocarbons under ambient conditions were obtained for the zone directly above the capillary fringe. Water and residual phase weathered aviation gasoline were present in this region of the profile. The sampling, trapping, and GC methodology was effective in most respects. Reproducibility, trapping, and desorption efficiency were generally satisfactory, and different sorbent tubes gave similar results. A minor shortcoming of the method occurred with the most volatile compound, 2,3-dimethylbutane, which was poorly retained during several weeks of storage time and was also poorly desorbed. Vapor phase concentrations of predominant hydrocarbon compounds all increased with depth at one sampling location. At a more highly contaminated location, concentrations of highly volatile compounds increased with depth while concentrations of less volatile compounds remained constant or decreased, possibly indicating distillation effects. Scatter in the data was attributed to heterogeneities in water and residual phase distribution.
Several researchers have considered the analysis of control system reliability for systems without plant/model mismatch. In this manuscript we review several of these proposed analysis tools, including some of the str...
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Several researchers have considered the analysis of control system reliability for systems without plant/model mismatch. In this manuscript we review several of these proposed analysis tools, including some of the strongest, and show that the results are either conservative, computationally expensive, or incorrect. We then develop necessary and sufficient conditions for many forms of reliability defined in the literature, and since the model is always an imperfect representation for the true process, we extend the resulting analysis tools to uncertain systems.
作者:
NYER, EKEvan K. Nyer is an expert in the research and application of technology to ground water cleanup. As vice president of technical resources with Geraghty & Miller Inc. (1099–18th St.
Ste. 2100 Denver CO 80202) he is responsible for maintaining and expanding Geraghty & Miller's technical expertise in geology/hydrogeology engineering modeling risk assessment bioremediation and many other areas. He also provides expertise in engineering services including the design of treatment systems for contaminated water sites throughout the United States. He has designed and installed more than 100 ground water and soil remediation systems. He is a member of the Water Pollution Control Federation the National Ground Water Association the American Institute of Chemical Engineers and the American Society of Civil Engineers.
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