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This paper focuses on the controller design for heating, ventilating and air conditioning systems. The proposed model based design technique relies on the method of feedback linearization in combination with model predictive control. The design is based on a simplified model derived from thermodynamic equations. The control loop is evaluated in numerical(More)
This paper demonstrates the application of model-predictive control to a feeding blending unit used in continuous pharmaceutical manufacturing. The goal of this contribution is, on the one hand, to highlight the advantages of the proposed concept compared to conventional PI-controllers, and, on the other hand, to present a step-by-step guide for controller(More)
This paper focuses on the supply air temperature control in a complex heating ventilating and air conditioning system. In industrial applications it is a common practice to use standard PI-controllers for temperature control. Typically the controller parameters are either found empirically or by employing standard tuning rules. The present work proposes a(More)
— In this paper a multi-variable control for the simultaneous control of the air temperature and the air humidity of an industrial heating ventilating and air conditioning (HVAC) system is presented. For the multi-input-multi-output (MIMO) control the model predictive control (MPC) method is applied. To model the system local linear neuro fuzzy models(More)
This paper presents a sensitivity analysis of a pharmaceutical direct compaction process. Sensitivity analysis is an important tool for gaining valuable process insights and designing a process control concept. Examining its results in a systematic manner makes it possible to assign actuating signals to controlled variables. This paper presents mathematical(More)
Disturbance propagation during continuous manufacturing processes can be predicted by evaluating the residence time distribution (RTD) of the specific unit operations. In this work, a dry granulation process was modelled and four scenarios of feeding events were simulated. We performed characterization of the feeders and developed RTD models for the blender(More)
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