Finite element analysis and stress measurement are carried out for two typical drawing tube headers, which is a new kind of tube header without fillet weld. The material of the drawing tubes and header is SA335-P91. T...
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作者:
Möller, ReinhardDept. of Electrical
Information Media Engineering Automation and Process Control Engineering University of Wuppertal Rainer-Gruenter-Str. 21 42349 Wuppertal Germany
The early days of 3D graphics computing were marked by extremely expensive and highly sophisticated hardware and software. Terms like ubiquitous computing and 3D on handhelds were unthinkable. But the development of o...
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In this paper, fuzzy supervisory PI controllers are developed and implemented on a pilot plant binary distillation column. Fuzzy c-means clustering technique is used in selecting membership functions and fuzzy rules a...
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ISBN:
(纸本)9780780393110
In this paper, fuzzy supervisory PI controllers are developed and implemented on a pilot plant binary distillation column. Fuzzy c-means clustering technique is used in selecting membership functions and fuzzy rules are determined using fuzzy gain scheduling technique. Thus, the need of heuristic method for designing fuzzy membership functions and rules from expert knowledge is omitted. Then, the fuzzy supervisors adapt the parameters of the PI controllers on line. The task of the controllers is to perform dual composition control of the top and bottom products when the disturbances enter the column in the form of changes in feed flow rate. The results show that the fuzzy supervisory PI controllers achieve much better performance than the fixed PI controllers.
In this paper, an optimum fuzzy supervisory PI controller using hierarchical genetic algorithms is developed and implemented for controlling the top and bottom product quality of a nonlinear, multi-input multi-output ...
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ISBN:
(纸本)9780780393110
In this paper, an optimum fuzzy supervisory PI controller using hierarchical genetic algorithms is developed and implemented for controlling the top and bottom product quality of a nonlinear, multi-input multi-output binary distillation column when the disturbance enters the column in the form of the changes in feed How rate. Two conventional PI controllers, one for the bottom product composition and another for the top product composition, are used together in the control scheme. Hierarchical genetic algorithms are used to derive the optimal number and shape of membership functions and fuzzy rules of a fuzzy supervisory system that adapts the parameters of the PI controllers. The real-time implementation results show the effectiveness of the proposed method.
The paper presents an application of the robust static output feedback control (RSOFC) to an exothermic continuous-time stirred tank reactor (CSTR). The CSTR is an uncertain system, which operates in an unstable stead...
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ISBN:
(纸本)8086059456
The paper presents an application of the robust static output feedback control (RSOFC) to an exothermic continuous-time stirred tank reactor (CSTR). The CSTR is an uncertain system, which operates in an unstable steady state. Robust controller design uses a linearized model of the CSTR. Necessary and sufficient conditions for stabilization of linear continuous-time uncertain polytopic systems via static output feedback are given. The problem of the RSOFC design is converted to solution of linear matrix inequalities (LMIs) and a computationally simple LMI based non-iterative algorithm is used. The design procedure guarantees with sufficient conditions the robust quadratic stability and guaranteed cost.
The aim of this paper is to give an overview about some ideas that have been introduced in past few years to the course Automatic control Fundamentals at FCFT STU. These involve heavy use of information technologies a...
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The early days of 3D graphics computing were marked by extremely expensive and highly sophisticated hardware and software. Terms like ubiquitous computing and 3D on handhelds were unthinkable. But the development of o...
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The early days of 3D graphics computing were marked by extremely expensive and highly sophisticated hardware and software. Terms like ubiquitous computing and 3D on handhelds were unthinkable. But the development of obliging common standards like OpenGL, for example, together with rapidly improving graphics technology turned the coin, and now everybody demands for high-performance user interfaces on his everyday-computing environment. Game development industry focuses on mobile technology. Automotive engineering introduces multimodal interfaces and entertainment systems for next generation cars. Although all industrial sectors ask for high performance graphics, they often focus on different aspects due to the still existing limitations of their graphics devices. This leads to a demand to revise and also optimize the graphics standards in order to make them suitable for special embedded and small-scale devices. This paper presents the state of development of OpenGL-ES, a 3D-standard for embedded graphics, its difference to regular OpenGL and its benefit for small-footprint interactive systems. Special aspects of safety-critical devices in avionics and military applications are discussed. Actual applications and research are referenced
Metabolic or cell signalling pathways are examples of biochemical networks exhibiting possible complex dynamics in the form of steady-state multiplicity, sustained oscillations or even deterministic chaos. The origin ...
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Metabolic or cell signalling pathways are examples of biochemical networks exhibiting possible complex dynamics in the form of steady-state multiplicity, sustained oscillations or even deterministic chaos. The origin of these nonlinear phenomena is not always well understood, nor it can be systematically predicted beyond a case by case basis. Despite considerable progress in dynamic aspects, efforts are still needed to develop efficient and robust methods of stabilization and control of reaction networks. In this work, we combine concepts and tools from irreversible thermodynamics and systems theory to explore the underlying dynamic properties of a general class of chemical and biochemical networks. Lyapunov and passivity based methods are given for the systematic design of globally stabilizing feedback controllers in both the concentration space and a novel minimal description of the kinetic networks dynamics: the reaction space.
The main concern of this paper is the implementation of estimation of time-varying parameters in mechanistic models. A mechanistic model is always a set of nonlinear differential algebraic equations based on basic pri...
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The main concern of this paper is the implementation of estimation of time-varying parameters in mechanistic models. A mechanistic model is always a set of nonlinear differential algebraic equations based on basic principles of physics, chemistry, biology etc. by writing down conservation or balance equations. These models usually involve parameters which are time-varying and must be estimated from experimental data or process data. The proposed parameter estimation approach is to minimize the discrepancy between the values of the measured and model simulated outputs. The dynamic optimization is employed due to the time-varying property of estimated parameters. The sequential quadratic programming and orthogonal collocation are used to solve the nonlinear dynamic optimization problem. The approach is verified on a pilot distillation column for estimating tray efficiencies of both the stripping and the rectifying sections and the feed composition
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