7 research outputs found

    Wave Detection and Characterization from Current and Voltage Signals of an Aluminium Smelting Cell

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    Wave Detection and Characterization from Current and Voltage Signals of an Aluminium Smelting Cell

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    In aluminium electrolysis cell there is a layer of 10-20 cm of liquid aluminium. On top of this there is a layer of a melted salt electrolyte with a number of carbon anode blocks partially submerged. The density difference of the two liquids is small and low frequency waves can occur in the interface. The waves cause variation in the current distribution between the individual anode carbon blocks. These variations are in this article analysed and visualised with MATLAB to show information of the temporal variations, frequencies and spatial modes of the waves

    Data and Program Structure for a Modular Extended Kalman Filter

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    The paper presents a data and program structure that makes it easier to implement a nonlinear process or measurement model when using the extended Kalman filter. This is achieved by a composite data type containing both the estimated value and covariance information. The basic operators ( +, -, *, /) and common functions are implemented for this data type. These enable a model for the extended Kalman filter to be implemented as easily as a discrete-time simulation model

    Internal Decoupling in Nonlinear Process Control

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    A simple method has been investigated for the total or partial removal of the effect of non-linear process phenomena in multi-variable feedback control systems. The method is based upon computing the control variables which will drive the process at desired rates. It is shown that the effect of model errors in the linearization of the process can be partly removed through the use of large feedback gains. In practice there will be limits on how large gains can he used. The sensitivity to parameter errors is less pronounced and the transient behaviour is superior to that of ordinary PI controllers
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