Titlebook: Case Studies in Control; Putting Theory to Wo Stanko Strmčnik,Đani Juričić Book 2013 Springer-Verlag London 2013 Burn Injuries.Control Appl

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Tracking Explicit Model Predictive Controllers for Low-Level Control Applicationsables the controller to be implemented on standard industrial automation equipment and for processes with fast dynamics, however, the computational complexity restricts applicability to small-scale control problems. The approach is appealing for a niche of control applications, but practical applica

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Model-Based Control of the Ammonia Nitrogen Removal Process in a Wastewater Treatment Plantarison with PI controllers. The controllers addressed are a model-based feedforward-feedback controller and a model predictive controller (MPC). Validation of the controllers was performed both in simulation and on a real plant in the context of various performance criteria related to an effluent am

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Temperature Control in a Plastic Extruder Control Systemmaterial is stored), a large screw (within a barrel) that transports the plastic material up to the die, and heating and cooling zones distributed along the barrel. In order to satisfy all the requirements four control blocks had to be developed: temperature control, parison control, hydraulic contr

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Tension Control in a Steel Slitting Linetrol system in a steel producing plant. Due to economic reasons and mechanical constraints, the established mechanical solutions, such as using a disburdening loop or the application of online measurements of the tension, were not acceptable for the customer. Therefore alternative solutions were sou

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End-Quality Control in the Manufacturing of Electrical Motors. In turn, the entire system of quality control has to be properly designed, with particular emphasis on final quality assessment of the products. In this chapter we present an advanced system for quality assessment of electrical motors which has been developed and successfully implemented in the fi

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Rapid Prototyping Environment for Control Systems Implementationnment. In this way various solutions can be quickly verified before making a final decision regarding the selection of a particular solution and its implementation. The tool supports simple process modelling based on recorded plant data, enables the selection of the most appropriate control method o

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A PLC-Based System for Advanced Controlgineering tool for the implementation of parameter-scheduling nonlinear control in the process industry, which is achieved by partial automation of the commissioning procedure. The key to the concept is the self-tuning mechanism. The controller parameters are automatically tuned from a nonlinear pro