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Two advanced control schemes are discussed: (1) decentralized proportional-integral-derivative (PID) control; and (2) nonlinear model predictive control (NMPC).
The proper implementation of advanced control schemes for complex chemical processes heavily rely on the availability of appropriate mathematical models.
Advanced control schemes can be used to optimize energy production and cost of energy in modern wind turbines.
The advent of smart grids enhances this expectation since it promises ubiquitous system monitoring, secure and trustworthy communication technologies and advanced control schemes.
The results are encouraging for the development of integrated design approaches with advanced control schemes which usually results in complex optimization problems difficult to solve with conventional techniques.
Based on out recently presented PAROC framework, the approach features a detailed dynamic model describing the cogeneration of heat and power, combined with conventional and advanced control schemes.
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Since tension and looper control is the key to successful operations in the hot strip finishing mill, several advanced control scheme have been developed by applying model-based approaches.
To illustrate the robustness of the proposed closed loop control scheme a more advanced control strategy is designed consisting in an EPSAC model based predictive controller.
With the proposed contour error estimation approach, advanced motion control schemes can be designed to efficiently reduce contour errors of contour following tasks.
An optimization framework is proposed with the aim of achieving a feasible and stable optimal process design in the presence of stochastic disturbances while using advanced model-based control schemes such as Model Predictive Control (MPC).
The methodology can be readily adapted for different operating conditions as in this case of polymer processing and has good potential for its integration with advanced model based control schemes and cloud computing approaches for the next generation of machines.
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Justyna Jupowicz-Kozak
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