Optimising control of wastewater treatment systems (WWTS), allowing for cost savings while fulfilling the effluent discharge limits over long period requires application of advanced control techniques. Model Predictiv...
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Optimising control of wastewater treatment systems (WWTS), allowing for cost savings while fulfilling the effluent discharge limits over long period requires application of advanced control techniques. Model Predictive control (MPC) is a very suitable control technology for a synthesis such a truly multivariable controller that can handle constraints and accommodate model-based knowledge combined with hard measurements. A hierarchical architecture is used to structure the MPC controller into the functional Supervisory, Optimising and Follow up levels. The Optimising control Level is further decomposed into three layers operating in different time scales: slow, medium and fast. The paper considers MPC controller operating in medium time scale. As it is impossible to efficiently control the plant under all possible influent conditions, three dedicated control strategies were designed. The controller performance was validated by simulation based on Kartuzy WWTS data records. Recently developed mechanism for soft switching between different MPC control strategies was used in the simulations.
A procedure for H/sub /spl infin// optimization of low order controllers for discrete-time and sampled-data systems is presented in this paper. Generally, low order H/sub /spl infin// controllers may be achieved by so...
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A procedure for H/sub /spl infin// optimization of low order controllers for discrete-time and sampled-data systems is presented in this paper. Generally, low order H/sub /spl infin// controllers may be achieved by solving bilinear matrix inequalities (BMIs). In this paper an iterative alternation between two LMIs gives a suboptimal solution. To avoid local minima in this search the initial controller is obtained by a frequency weighted controller reduction scheme, where the closed loop properties of a full order controller is taken into account. A minimal number of parameters in the state space realization of the controller also reduces the complexity and improves numerical robustness. The complete presentation is based on delta operator models, which shows a close relationship between the continuous- and discrete-time solutions. The sensitivity of the ordinary discrete-time shift operator LMI formulation to small sampling periods is also analyzed.
This paper reports on the development of a training simulator focusing on voltage control and stability. It has been derived from a quasisteady-state simulation software already used and validated in planning and oper...
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This paper reports on the development of a training simulator focusing on voltage control and stability. It has been derived from a quasisteady-state simulation software already used and validated in planning and operational planning studies. The computational engine has been provided with a user interface built on the client-server architecture, allowing the simulator to run on a network of PCs in a very flexible way. New displays can be set up easily and quickly. This tool is presently used by Hydro-Quebec to improve the operator's ability to control transmission voltages. Other features, uses and benefits are reported.
In this paper a novel three-phase line-interactive UPS system with parallel-series active power-line conditioning capability using AC line reactor and two four-leg voltage source converter (VSC) is proposed. The four-...
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ISBN:
(纸本)0780387309
In this paper a novel three-phase line-interactive UPS system with parallel-series active power-line conditioning capability using AC line reactor and two four-leg voltage source converter (VSC) is proposed. The four-leg VSC can use the DC-link voltage effectively by the 3-D SVPWM method. Hence the DC battery voltage can be reduced by 15% in comparison to that of the conventional line-interactive UPS system. The parallel inverter operating as a shunt active filter is a controlled voltage source and controls the three-phase line voltage independently in order to control the source current. It eliminates the neutral line current and the active ripple power of the source side using the dqo transformation so that unity power factor and the sinusoidal source current can be achieved even though both the source and the load voltages have zero sequence components. The series inverter operating as dynamic voltage restorer (DVR) compensates the load voltage and allows it to be balanced and harmonic-free. Both of the series and shunt inverters always act as independently controllable voltage sources, so that the three-phase output voltage can show a seamless transition to the backup mode. The feasibility of the proposed UPS system has been investigated and verified through experimental results.
Recently, a novel optimality based Repetitive control algorithm was proposed in (Hätönen et al. , 2003). According to the convergence analysis carried out in that paper, the algorithm will result in asymptot...
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Recently, a novel optimality based Repetitive control algorithm was proposed in (Hätönen et al. , 2003). According to the convergence analysis carried out in that paper, the algorithm will result in asymptotic convergence for an arbitrary discrete-time LTI plant and a T -periodic reference. However, the performance of the algorithm was tested only using simulation studies. In order to rigorously test how the algorithm performs with real systems, in this paper the algorithm is implemented on a non-minimum phase spring-mass-damper system. The results are very satisfactory, because the algorithm results in near perfect tracking with this rather demanding plant type.
A systems engineering approach to integrated control and supervision for applications to industrial multi-zone furnaces has been elaborated and tested in a case study of three-zone 25 MW RZS pusher furnace at Skopje S...
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A systems engineering approach to integrated control and supervision for applications to industrial multi-zone furnaces has been elaborated and tested in a case study of three-zone 25 MW RZS pusher furnace at Skopje Steelworks. The integrated control and supervision design is based on combined use of general predictive control optimization of set-points, at the upper level, and steady-state decoupling classical two-term laws, at the lower executive control level. For practical engineering and maintenance reasons, digital implementations are sought within standard computer process control platform.
A systems re-engineering technique to integrated control and supervision for applications to industrial multi-zone furnaces has been elaborated by using known theories on generalized predictive control and nonlinear p...
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A systems re-engineering technique to integrated control and supervision for applications to industrial multi-zone furnaces has been elaborated by using known theories on generalized predictive control and nonlinear programming. This paper presents the derivation of optimizing equations and inequalities. The design is based on the use of general predictive control to provide optimized set-points under the presumption a well designed regulatory control was implemented at the executive level. Digital implementation of control functions are sought within standard computer process control platform for practical engineering and maintenance reasons.
In this paper, a new model inverse optimal iterative learning control algorithm is practically implemented on an industrial gantry robot. The algorithm has only one tuning parameter which can be adjusted to provide a ...
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In this paper, a new model inverse optimal iterative learning control algorithm is practically implemented on an industrial gantry robot. The algorithm has only one tuning parameter which can be adjusted to provide a balance between convergence speed and robustness. Results show that the algorithm is capable of learning the required trajectory in very few iterations. However at this convergence rate the lack of robustness is a major issue. Appropriate use of the tuning parameter is shown to greatly increase the algorithm robustness as demonstrated by tests which successfully reach 600 iterations.
The paper is devoted to the problem of modeling demand for inventory management of slow-moving items in the case of reporting errors. It is proposed a generalization of the beta-binomial demand model that takes into a...
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The paper is devoted to the problem of modeling demand for inventory management of slow-moving items in the case of reporting errors. It is proposed a generalization of the beta-binomial demand model that takes into account possible reporting errors in the learning sample. For the new model, there are developed identification and forecasting algorithms that provide consistent estimators of the model parameters and mean square optimal forecasts. The efficiency of the proposed approach is illustrated by an application example for slow-moving car parts.
Tube and bar products of aluminum alloy composites reinforced by alumina short fiber were formed in a single process with liquid extrusion technology. The microstructure verifies that the reinforcing effect is obvious...
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Tube and bar products of aluminum alloy composites reinforced by alumina short fiber were formed in a single process with liquid extrusion technology. The microstructure verifies that the reinforcing effect is obvious in the deformation direction since fibers are distributed along this direction, which is resulted from the flow and crystallization under pressure of liquid metal and large plastic deformation of solidified metal in the process. The interface between fiber and matrix belongs to mechanical bonding. The fractograph demonstrates ductile mode. Liquid extrusion process opens up a new way for fabricating tube, bar and shaped products.
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