This paper presents the design and implementation of a pressure controller for the pressurizer of the primary circuit in the Paks Nuclear Power Plant (NPP) in Hungary. The controlled process is part of a highly safety...
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This paper presents the design and implementation of a pressure controller for the pressurizer of the primary circuit in the Paks Nuclear Power Plant (NPP) in Hungary. The controlled process is part of a highly safety-critical environment, therefore strict reliability requirements are imposed on both the hardware and the software of the controller. The implemented controller provides robust performance and it has a redundant and distributed architecture in order to meet these demands. The control system includes measurement and control PLCs, a continuous power controller and a special supervisor module. The pressure controller has been implemented and is in use in all the four units of the Paks NPP.
This paper extends former results about the networked reference tracking control of a pressurizer in a pressurized water nuclear power plant. An L2-gain based method is used in a deterministic framework to compute the...
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An iterative uncertainty modelling and μ-synthesis method is presented for LTI systems. In many robust control problems with complex dynamical systems, there is no a priori information for designing a nonconservative...
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This paper is devoted to the construction of wavelet-type transforms with the purpose to represent functions belonging to the Hardy-space H2. The concept of the affine wavelet-transform defined in the space L2 is exte...
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To improve the performance properties of heavy vehicles, i.e., to reduce the risk of rollovers, to improve passenger comfort and road holding, a reconfigurable fault-tolerant control design of the active suspensions a...
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The paper presents a joint state and unmeasured input estimation technique for a special class of nonlinear second order macroscopic traffic model. The freeway traffic system is transformed into a quasi and affine app...
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The paper proposes an alternative way to solve robust reference tracking problem. Instead of rejecting the effect of the disturbance directly, an intermediate step is built into the state estimation problem. The advan...
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In this paper a decentralized approach to state estimation of distributed dynamical systems over unreliable communication network subject to uncertain and limited measurements is addressed. Specifically, a distributed...
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An iterative uncertainty modelling and μ-synthesis method is presented for LTI systems. In many robust control problems with complex dynamical systems, there is no a priori information for designing a nonconservative...
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An iterative uncertainty modelling and μ-synthesis method is presented for LTI systems. In many robust control problems with complex dynamical systems, there is no a priori information for designing a nonconservative and viable representation of the uncertainty. The goal of this paper is to provide a practical numerical method for improving the robust performance of the controlled system by designing an appropriate uncertainty model and a controller. In the proposed iterative algorithm the controller is designed by mu-synthesis and the frequency-dependent norm-bounds of the uncertainties are tuned to minimize the structured singular value with model validation constraints. Since the uncertainty model depends on the quality of the input-output measurements, therefore closed-loop experiments are involved in the iteration in order to improve the set of validation constraints. The efficiency of the method is justified by the simulation example of a vehicle steering problem.
The paper presents an iterative uncertainty modeling and robust controller synthesis method for linear parameter-varying (LPV) systems in linear fractional transformation (LFT) form. The goal of the method is to impro...
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The paper presents an iterative uncertainty modeling and robust controller synthesis method for linear parameter-varying (LPV) systems in linear fractional transformation (LFT) form. The goal of the method is to improve robust performance by exploiting modeling freedom in the structured uncertainty descriptions while ensuring model consistency with respect to measurement data. The proposed iterative algorithm consists of three steps: robust LPV controller synthesis, tuning of the uncertainty model and performing closed-loop experiments for new validation data.
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