Windows operating systems (NT, 2000, XP, 2003) were not designed for real-time and time-critical applications. But, due to the market requirements, many of the monitoring and control applications are to use Windows NT...
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This paper deals with the control of variable-delay processes, where the delay depends on the value of the manipulated variable, which results in a non-linear system difficult to control. As a reference process, the c...
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In this paper, a HGA 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 binar...
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ISBN:
(纸本)0780393538
In this paper, a HGA 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 disturbances enter the column in the form of the changes in feed flow rate. Two conventional PI controllers, one for the bottom product composition and another for the top product composition, are used together in a decentralized control scheme to per form dual composition control. 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.
Today Coriolis meters offer the best performance in mass flow measurement. For those applications, where accuracy, low pressure drop and good cleanability is needed, the single straight tube is the best alternative. T...
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Today Coriolis meters offer the best performance in mass flow measurement. For those applications, where accuracy, low pressure drop and good cleanability is needed, the single straight tube is the best alternative. The tubes oscillate in resonance and the resonance frequency provides information about fluid's density, which is besides mass flow also an important parameter for quality and process control. A shortcoming of Coriolis mass flowmeters for density measurement is the lack of a sophisticated compensation method taking into account the dependency of the resonance frequency on temperature, flowrate, pressure, viscosity etc. In fact several heuristic methods are in use to achieve good solutions to correct the density readings. However, these methods are complex, device specific and expensive. In this paper, a method is presented to overcome these drawbacks. It is based on a dynamic model of the mass flowmeter and allows for parameter identification of the measuring tube during operation. To be more specific, the effective spring constant of the oscillating tube is detected online. Using this result, the vibrating mass and subsequently the density of the fluid are calculated taking into account the resonance frequency
Common engineering approaches and modeling approaches from software engineering are brought together. For the domain of process automation an implementation oriented approach for an object oriented software developmen...
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Common engineering approaches and modeling approaches from software engineering are brought together. For the domain of process automation an implementation oriented approach for an object oriented software development for heterogeneous distributed systems is introduced. Model elements for control are added to UML as well as small-scale patterns for plant automation. Besides large-scale patterns are introduced as well as implementational models. The adoption of UML regarding applied diagrams and stereotypes for process automation will be introduced and evaluated.
A Printed Circuit Board (PCB) testing method using infrared thermal signatures is presented. The concept of thermal signature for PCBs is introduced. Based on this concept, the testing method is able to classify the i...
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Common engineering approaches and modelling approaches from software engineering are brought together. For the domain of process automation an implementation oriented approach for an object oriented software developme...
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Common engineering approaches and modelling approaches from software engineering are brought together. For the domain of process automation an implementation oriented approach for an object oriented software development for heterogeneous distributed systems is introduced. Model elements for control are added to UML as well as small-scale patterns for plant automation. Besides large-scale patterns are introduced as well as implementational models. The adoption of UML regarding applied diagrams and stereotypes for process automation is introduced and evaluated.
An agile software development approach for embedded systems has been transferred to automation and process control. With using UML 1.4, an approach was developed, which allows to generate IEC 61131-3 code from an UML-...
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An agile software development approach for embedded systems has been transferred to automation and process control. With using UML 1.4, an approach was developed, which allows to generate IEC 61131-3 code from an UML-model and to import it into soft-PLCs, automatically. The generated IEC 61131 code consists of ST and SFC. Besides, the system architecture is part of the UML-model, which bridges the gap between hard and software engineering. This approach was evaluated by using a sorting machine and by automation experts. The work is embedded in a development of UML for process automation and usability test of UML with automation engineers.
The control of dynamical systems with inherent non-linear characteristics has motivated research in non-linear control theory. Two main approaches to dealing with uncertainties in control systems design are adaptive a...
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The control of dynamical systems with inherent non-linear characteristics has motivated research in non-linear control theory. Two main approaches to dealing with uncertainties in control systems design are adaptive and robust control. In this paper, discrete direct adaptive control of unknown non-linear SISO systems is considered. The controller is implemented using a fuzzy neural network. The control concept is tested on a laboratory pilot plant and compared to a standard discrete PID Takahashi controller
This paper presents the successful application of interval arithmetics to a simplified activated sludge model that describes the reduction of biodegradable substrate in biological wastewater treatment. Reliable analys...
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This paper presents the successful application of interval arithmetics to a simplified activated sludge model that describes the reduction of biodegradable substrate in biological wastewater treatment. Reliable analysis of the steady-state behaviour as well as plant control have to account for the dominant uncertain system parameter given by the maximum specific growth rate of biomass. The proposed control strategy consists of nonlinear control of oxygen concentration using desired trajectories derived from interval evaluations of the uncertain steady-state substrate concentration. By this, plant operating costs can be significantly reduced resulting in superior plant efficiency.
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