Covering the Gap Between Advanced Control Theory Design and Real Time Implementation Using Simulink

New developments in sensor technology and control actuators make it viable to monitor and regulate more process variables, providing an opportunity to apply advanced multivariable control techniques. Although modern control techniques allows the implementation of true multiple inputs – multiple output controllers, there has been a big gap between theoretical developments and real life applications. At the University of Southeast Norway, we proposed a bachelor level course aimed to students who have had a previous introductory course to classic control, to teach them the fundamentals of modern multivariable control techniques, including state feedback, LQR and linear MPC. The use of Simulink is integrated with the course, to analyze and design modern controllers for two real multivariable experimental processes. We advocate the use of advanced simulation and data acquisition tools to help to cover the existing gap between the development of modern control algorithms, and their implementation with real processes. The experimental testing and final tuning of the controllers are an important part of the course

Optimal Operation of the Peat Drying Process in Steam Tube Dryers

Ukraine is an energy-dependent country and aims to reduce the import of natural gas, heat, and power in general. This implies extracting fuel from her own natural resources; one relevant and readily available energy carrier for such extraction is peat (bio mass). Currently, the operating regimes of the drying of peat are not energy efficient; these operating regime maps were developed in the 1970s and aimed only to get dry peat of required quality, without taking into account the cost of heat and electric energy in the drying process. The current quality of dried peat in the dryer does not always satisfy the necessary quality; e.g. parts of the peat may be insufficiently dried, or it may be over-dried. This affects the energy performance of peat briquette production. To improve the quality and energy efficiency of the peat drying process, an analysis of the drying process is carried out: an empirical mathematical model of the drying process is developed using the GMDH principle [1, 2, 3], mapping input parameters and disturbances to output qualities based on available experimental data. Next, with known (measured) disturbances, optimal input parameters for the drying process are found. Changing the operational parameters too fast leads to insufficient drying or over-drying of parts of the peat. Thus, to avoid changing the operational conditions too fast, the operational conditions are classified into a number of classes corresponding to a certain range of values for the operational parameters. Finally, an iterative procedure for changing the input parameters from the past values to new values is introduced. The resulting algorithm for finding the optimal operation of peat drying is based on mathematical models developed from experimental data, and aims to ensure improved quality and energy efficiency in the peat drying process

Living What Is Celebrated: A Theological Commentary on the Dismissal Formulae

status: accepte

The Relationship between Theology and Human Life

status: publishe

The Eucharist: The Bread of Life

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The Sign of Peace: A Paschal Act of the Risen Christ (A brief Liturgico-Theological Commentary)

status: publishe

Living What is Celebrated: A Liturgico-Theological Commentary on the Four Options of the Dismissal Formula of the Mass

status: publishe

The Eucharist and Christian Way of Life

status: publishe