The primary disadvantage of current design techniques for model predictive control (MPC) is their inability to explicitly deal with model uncertainty. In this paper, the authors address the robustness issue in MPC by ...
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The primary disadvantage of current design techniques for model predictive control (MPC) is their inability to explicitly deal with model uncertainty. In this paper, the authors address the robustness issue in MPC by directly incorporating the description of plant uncertainty in the MPC problem formulation. The plant uncertainty is expressed in the time-domain by allowing the state-space matrices of the discrete-time plant to be arbitrarily time-varying and belonging to a polytope. The existence of a feedback control law minimizing an upper bound on the infinite horizon objective function and satisfying the input and output constraints is reduced to a convex optimization over linear matrix inequalities (LMIs). It is shown that for the plant uncertainty described by the polytope, the feasible receding horizon state feedback control design is robustly stabilizing.
作者：
Daniel E. RiveraSaurabh BhatnagarDepartment 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 c...
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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 chemicalengineering practitioners because it combines the tasks of system identification with controller commissioning to produce a simple-to-use yet reliable autotuning procedure.
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 fram...
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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.
作者：
OSTENDORF, DWMOYER, EEXIE, YFRAJAN, RVDavid 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 in Massachusetts 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. Ellen E. Moyer (Civil Engineering Department
University of Massachusetts Amherst MA 01003) is a doctoral candidate in the Environmental Engineering Program of the Civil Engineering Department of the University of Massachusetts at Amherst with an M.S. degree in environmental engineering from that institution. Her research interests include subsurface investigation soil venting bioremediation and analytical modeling of subsurface contamination. She has six years of professional experience managing hazardous waste site investigation and cleanup projects and is a member of the National Ground Water Association and the American Society of Civil Engineers. 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 Department of the University of Massachusetts at Amherst. His research interests include environmental analyses drinking water treatment and the chemical characterization and removal of disinfection by-products. A graduate with a Ph.D. and an M.S. in environmental engineering and a B.S. in chemistry and chemical engineeering from Tsinghua University Beijing China Xie is a member of the American Water Works Association and the Water Poll
The diffusion of 2,2,4-trimethylpentane (TMP) and 2,2,5-trimethylhexane (TMH) vapors out of residually contaminated sandy soil from the U.S. Environmental Protection Agency (EPA) field research site at Traverse City, ...
The diffusion of 2,2,4-trimethylpentane (TMP) and 2,2,5-trimethylhexane (TMH) vapors out of residually contaminated sandy soil from the U.S. Environmental Protection Agency (EPA) field research site at Traverse City, Michigan, was measured and modeled. The headspace of an intact core sleeve sample was swept with nitrogen gas to simulate the diffusive release of hydrocarbon vapors from residual aviation gasoline in and immediately above the capillary fringe to a soil-venting air flow in the unsaturated zone. The resulting steady-state profile was modeled using existing diffusivity and air porosity estimates in a balance of diffusive flux and a first order source term. The source strength, which was calibrated with the observed flux of 2,2,4-TMP leaving the sleeve, varied with the residual gasoline remaining in the core, but was independent of the headspace sweep flow rate. This finding suggested that lower soil-venting air flow rates were in principle as effective as higher air flow rates in venting LNAPL vapors from contaminated soils. The saturated vapor concentration ratio of 2,2,4-TMP to 2,2,5-TMH decreased from 6.6 to 3.5 over the duration of the experiments in an expression of distillation effects. The vertical profile model was tested against sample port data in four separate experiments for both species, yielding mean errors ranging from 0 to -24 percent in magnitude.
作者：
NYER, EKEvan K. Nyer is an expert in the research and application of technology to ground water cleanup. As vice president with Geraghty & Miller Inc. (14497 N. Dale Mabry Hwy.
Ste. 115 Tampa FL 33618) he is reponsible for engineering services including hazardous and solid waste management environmental and natural resource management remediation activities and designing treatment systems for contaminated sites throughout the United States and in foreign countries. He has designed more than 100 ground water treatment 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.
作者：
NYER, EKSUTHERSAN, SSEvan 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. Suthan S. Suthersan
Ph.D. P.E. is a vice president and director of remediation engineering at Geraghty & Miller Inc. He has 15 years of experience as an environmental engineer and specializes in developing and implementing innovative remediation technologies. His responsibilities include technical oversight on many remediation projects involving various contaminants under varying geological hydrogeologic conditions.
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