Some preliminary results are presented on a new method of identification for discrete time linear systems. The method is required to operate on experimentally determined, noisy frequency response data and is specifica...
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Some preliminary results are presented on a new method of identification for discrete time linear systems. The method is required to operate on experimentally determined, noisy frequency response data and is specifically required to yield a model which facilitates the design of robust controllers in the infinity norm. The philosophy underlying this method is not only to provide a robust identification algorithm but more importantly to emphasize minimization of the error bound between the true plant and the model. It is the reduction of this bound that allows improved performance to be obtained by the closed loop system when controlled by an H/sup infinity / controller. The bound of this new method is computable from the a priori information of the plant's relative stability properties and the noise's bound as well as the a posteriori information of the plant's noisy frequency response. The plant transfer function must be in the class of stable, causal, time invariant linear systems. The best method obtained to data is presented, and it is shown that its theoretical error bounds are smaller than those of other methods in the literature. Theoretical examples are included to demonstrate the method's performance.< >
The scale up of hydrogen production to large scale production systems demands a structured approach to control these systems. With suitable control principles, optimization for operation can be achieved whilst maintai...
The scale up of hydrogen production to large scale production systems demands a structured approach to control these systems. With suitable control principles, optimization for operation can be achieved whilst maintaining flexibility. In this paper, existing control strategies are analyzed and compared for large scale electrolysis systems. It is argued, how modularization can enable the optimal distribution of set-points and enables the systems for capacity extension. An initial implementation in MATLAB is presented, showing the feasibility of the proposed power distribution concept.
Large-scale water electrolysis systems are built from a multitude of stack units. These stack units have to be controlled during operation. The question arises how processcontrol of the system can be designed in that...
Large-scale water electrolysis systems are built from a multitude of stack units. These stack units have to be controlled during operation. The question arises how processcontrol of the system can be designed in that way, that scalable, extendable but also optimal operation of the stack units becomes possible. To achieve this goal, existing processcontrol strategies from literature are analyzed. The requirements resulting from the inherent numbering up of stack units are described and an approach for an adaptable optimized processcontrol strategy considering the system properties is proposed. The proposed processcontrol strategy is implemented in a modeled electrolysis system and evaluated regarding the stated criteria. The results could show, that the inherent modularization of electrolysis systems can be used in advantage for a scalable operation.
H∞ control theory is usually associated with highorder controllers. In this paper, simple tuning rules (extending the well-known SIMC) for the Proportional-Integral (PI) algorithm are derived analytically based on H...
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Ⅰ.Introduction CYBER-PHYSICAL system is a system of collaborating computational elements to control physical *** coordination and the tight link between computational,virtual and physical resources in cyber-physical ...
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Ⅰ.Introduction CYBER-PHYSICAL system is a system of collaborating computational elements to control physical *** coordination and the tight link between computational,virtual and physical resources in cyber-physical system will have a pervasive effect on our everyday *** development of cyber-physical system will create new opportunities for the introduction of services that will enhance the quality of life
The basis of a comprehensive real-time knowledge based system for control structure design and supervisory control is developed using the MUSE AT toolkit. Representation of controlengineering knowledge as procedural ...
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The basis of a comprehensive real-time knowledge based system for control structure design and supervisory control is developed using the MUSE AT toolkit. Representation of controlengineering knowledge as procedural code in an object-based structure ensures that the knowledge base is easily understood and modified by domain experts. The simple learning capability that has been implemented has proved to be extremely useful and is being developed further as part of continuing research in this area. It is also hoped to extend the capabilities of the supervisory modules particularly in dealing with loop interactions, the prediction and diagnosis of faults and the provision of an intelligent operator interface.< >
This work applies the LQ control framework to the class of quasi-polynomial and Lotka-Volterra systems through the linearized version of their nonlinear system model. The primary aim is to globally stabilize the origi...
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A simple dynamic model of an industrial size synchronous generator operating in a nuclear power plant is developed in this paper based on first engineering principles. The constructed state-space model consists of a n...
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ISBN:
(纸本)9788070438657
A simple dynamic model of an industrial size synchronous generator operating in a nuclear power plant is developed in this paper based on first engineering principles. The constructed state-space model consists of a nonlinear state equation and a bi-linear output equation. It has been shown that the model is locally asymptotically stable with parameters obtained from the literature for a similar generator. The effect of load disturbances on the partially controlled generator has been analyzed by simulation using a traditional PI controller. It has been found that the controlled system is stable and can follow the set-point changes in the effective power well. The disturbance rejection of the controller is also satisfactory.
engineering projects are driven by cost and time constraints. Furthermore, the increasing complexity of these projects makes it necessary to expose specification, implementation and conceptual errors as early as possi...
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ISBN:
(纸本)9781509028719
engineering projects are driven by cost and time constraints. Furthermore, the increasing complexity of these projects makes it necessary to expose specification, implementation and conceptual errors as early as possible. Therefore, a well-established method is to carry out simulation experiments. This paper presents a concept for coupling already existing (domain-specific) simulation models that allow the integration of individual models in a co-simulation environment. A complete system simulation can take place in this environment. Therefore, the contribution of OPC UA as a generic middleware technology - a candidate for Industrie 4.0 scenarios that is being intensively discussed - is analysed. Through a prototypical implementation based on open62541, we can show a proof of concept by coupling different simulations (SIMIT and FMI instances). It also shows that our concept can be easily extended regarding the integration of new simulators.
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