The Experts below are selected from a list of 22713 Experts worldwide ranked by ideXlab platform
Michael Zeitz - One of the best experts on this subject based on the ideXlab platform.
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Design of adaptive Feedforward Control under input constraints for a benchmark CSTR based on a BVP solver
Computers & Chemical Engineering, 2009Co-Authors: Knut Graichen, Veit Hagenmeyer, Michael ZeitzAbstract:Abstract The transition between multiple stationary setpoints of a benchmark CSTR model with different minimum-phase characteristics is solved by an adaptive Feedforward Control scheme. The Feedforward Control design treats the transition problem as a two-point boundary value problem in the coordinates of the input–output normal form, which is numerically solved with a standard M atlab function. The Feedforward trajectories are calculated offline over the specified range of the inlet concentration to account for its strong influence on the system dynamics. The nominal trajectories are stored in lookup tables and an extended Kalman filter is used to adapt the Feedforward Control to the current inlet concentration. It is shown that the adaptation of the Feedforward Control acts as an integral feedback and leads to a zero steady state offset. Simulation results for a changing inlet concentration and model uncertainties show the performance and robustness of the adaptive Feedforward Control scheme.
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Feedforward Control with online parameter estimation applied to the chylla haase reactor benchmark
Journal of Process Control, 2006Co-Authors: Knut Graichen, Veit Hagenmeyer, Michael ZeitzAbstract:Abstract The Chylla–Haase polymerization reactor is used as a benchmark problem to illustrate the potential of Feedforward Control design by extending the conventional cascade Control in the framework of the two-degree-of-freedom Control concept. To ensure an accurate temperature Control, the Feedforward Control is adapted to different batch conditions and various products by an extended Kalman filter. The reaction heat and the heat transfer coefficient are estimated online based on simple physically motivated relations applicable to a wider range of batch reactors. Simulation results under model uncertainties show the effectiveness and accuracy of the adaptive Feedforward Control concept while maintaining the conventional feedback cascade Control.
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Feedforward Control with online parameter estimation applied to the Chylla–Haase reactor benchmark
Journal of Process Control, 2006Co-Authors: Knut Graichen, Veit Hagenmeyer, Michael ZeitzAbstract:Abstract The Chylla–Haase polymerization reactor is used as a benchmark problem to illustrate the potential of Feedforward Control design by extending the conventional cascade Control in the framework of the two-degree-of-freedom Control concept. To ensure an accurate temperature Control, the Feedforward Control is adapted to different batch conditions and various products by an extended Kalman filter. The reaction heat and the heat transfer coefficient are estimated online based on simple physically motivated relations applicable to a wider range of batch reactors. Simulation results under model uncertainties show the effectiveness and accuracy of the adaptive Feedforward Control concept while maintaining the conventional feedback cascade Control.
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Adaptive Feedforward Control with Parameter Estimation for the Chylla-Haase Polymerization Reactor
Proceedings of the 44th IEEE Conference on Decision and Control, 1Co-Authors: Knut Graichen, Veit Hagenmeyer, Michael ZeitzAbstract:An adaptive Feedforward Control for the Chylla-Haase polymerization reactor is presented in the framework of the two–degree–of–freedom Control concept. In order to adapt the Feedforward Control to different batch conditions and various products, an extended Kalman filter is designed to estimate the reaction heat and the heat transfer coefficient during polymerization. Simulation results under model uncertainties show the effectiveness and accuracy of the adaptive Feedforward Control concept while maintaining the conventional feedback cascade Control.
Knut Graichen - One of the best experts on this subject based on the ideXlab platform.
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Design of adaptive Feedforward Control under input constraints for a benchmark CSTR based on a BVP solver
Computers & Chemical Engineering, 2009Co-Authors: Knut Graichen, Veit Hagenmeyer, Michael ZeitzAbstract:Abstract The transition between multiple stationary setpoints of a benchmark CSTR model with different minimum-phase characteristics is solved by an adaptive Feedforward Control scheme. The Feedforward Control design treats the transition problem as a two-point boundary value problem in the coordinates of the input–output normal form, which is numerically solved with a standard M atlab function. The Feedforward trajectories are calculated offline over the specified range of the inlet concentration to account for its strong influence on the system dynamics. The nominal trajectories are stored in lookup tables and an extended Kalman filter is used to adapt the Feedforward Control to the current inlet concentration. It is shown that the adaptation of the Feedforward Control acts as an integral feedback and leads to a zero steady state offset. Simulation results for a changing inlet concentration and model uncertainties show the performance and robustness of the adaptive Feedforward Control scheme.
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Feedforward Control with online parameter estimation applied to the chylla haase reactor benchmark
Journal of Process Control, 2006Co-Authors: Knut Graichen, Veit Hagenmeyer, Michael ZeitzAbstract:Abstract The Chylla–Haase polymerization reactor is used as a benchmark problem to illustrate the potential of Feedforward Control design by extending the conventional cascade Control in the framework of the two-degree-of-freedom Control concept. To ensure an accurate temperature Control, the Feedforward Control is adapted to different batch conditions and various products by an extended Kalman filter. The reaction heat and the heat transfer coefficient are estimated online based on simple physically motivated relations applicable to a wider range of batch reactors. Simulation results under model uncertainties show the effectiveness and accuracy of the adaptive Feedforward Control concept while maintaining the conventional feedback cascade Control.
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Feedforward Control with online parameter estimation applied to the Chylla–Haase reactor benchmark
Journal of Process Control, 2006Co-Authors: Knut Graichen, Veit Hagenmeyer, Michael ZeitzAbstract:Abstract The Chylla–Haase polymerization reactor is used as a benchmark problem to illustrate the potential of Feedforward Control design by extending the conventional cascade Control in the framework of the two-degree-of-freedom Control concept. To ensure an accurate temperature Control, the Feedforward Control is adapted to different batch conditions and various products by an extended Kalman filter. The reaction heat and the heat transfer coefficient are estimated online based on simple physically motivated relations applicable to a wider range of batch reactors. Simulation results under model uncertainties show the effectiveness and accuracy of the adaptive Feedforward Control concept while maintaining the conventional feedback cascade Control.
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Adaptive Feedforward Control with Parameter Estimation for the Chylla-Haase Polymerization Reactor
Proceedings of the 44th IEEE Conference on Decision and Control, 1Co-Authors: Knut Graichen, Veit Hagenmeyer, Michael ZeitzAbstract:An adaptive Feedforward Control for the Chylla-Haase polymerization reactor is presented in the framework of the two–degree–of–freedom Control concept. In order to adapt the Feedforward Control to different batch conditions and various products, an extended Kalman filter is designed to estimate the reaction heat and the heat transfer coefficient during polymerization. Simulation results under model uncertainties show the effectiveness and accuracy of the adaptive Feedforward Control concept while maintaining the conventional feedback cascade Control.
Veit Hagenmeyer - One of the best experts on this subject based on the ideXlab platform.
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Design of adaptive Feedforward Control under input constraints for a benchmark CSTR based on a BVP solver
Computers & Chemical Engineering, 2009Co-Authors: Knut Graichen, Veit Hagenmeyer, Michael ZeitzAbstract:Abstract The transition between multiple stationary setpoints of a benchmark CSTR model with different minimum-phase characteristics is solved by an adaptive Feedforward Control scheme. The Feedforward Control design treats the transition problem as a two-point boundary value problem in the coordinates of the input–output normal form, which is numerically solved with a standard M atlab function. The Feedforward trajectories are calculated offline over the specified range of the inlet concentration to account for its strong influence on the system dynamics. The nominal trajectories are stored in lookup tables and an extended Kalman filter is used to adapt the Feedforward Control to the current inlet concentration. It is shown that the adaptation of the Feedforward Control acts as an integral feedback and leads to a zero steady state offset. Simulation results for a changing inlet concentration and model uncertainties show the performance and robustness of the adaptive Feedforward Control scheme.
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Feedforward Control with online parameter estimation applied to the chylla haase reactor benchmark
Journal of Process Control, 2006Co-Authors: Knut Graichen, Veit Hagenmeyer, Michael ZeitzAbstract:Abstract The Chylla–Haase polymerization reactor is used as a benchmark problem to illustrate the potential of Feedforward Control design by extending the conventional cascade Control in the framework of the two-degree-of-freedom Control concept. To ensure an accurate temperature Control, the Feedforward Control is adapted to different batch conditions and various products by an extended Kalman filter. The reaction heat and the heat transfer coefficient are estimated online based on simple physically motivated relations applicable to a wider range of batch reactors. Simulation results under model uncertainties show the effectiveness and accuracy of the adaptive Feedforward Control concept while maintaining the conventional feedback cascade Control.
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Feedforward Control with online parameter estimation applied to the Chylla–Haase reactor benchmark
Journal of Process Control, 2006Co-Authors: Knut Graichen, Veit Hagenmeyer, Michael ZeitzAbstract:Abstract The Chylla–Haase polymerization reactor is used as a benchmark problem to illustrate the potential of Feedforward Control design by extending the conventional cascade Control in the framework of the two-degree-of-freedom Control concept. To ensure an accurate temperature Control, the Feedforward Control is adapted to different batch conditions and various products by an extended Kalman filter. The reaction heat and the heat transfer coefficient are estimated online based on simple physically motivated relations applicable to a wider range of batch reactors. Simulation results under model uncertainties show the effectiveness and accuracy of the adaptive Feedforward Control concept while maintaining the conventional feedback cascade Control.
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Adaptive Feedforward Control with Parameter Estimation for the Chylla-Haase Polymerization Reactor
Proceedings of the 44th IEEE Conference on Decision and Control, 1Co-Authors: Knut Graichen, Veit Hagenmeyer, Michael ZeitzAbstract:An adaptive Feedforward Control for the Chylla-Haase polymerization reactor is presented in the framework of the two–degree–of–freedom Control concept. In order to adapt the Feedforward Control to different batch conditions and various products, an extended Kalman filter is designed to estimate the reaction heat and the heat transfer coefficient during polymerization. Simulation results under model uncertainties show the effectiveness and accuracy of the adaptive Feedforward Control concept while maintaining the conventional feedback cascade Control.
Andreas Kugi - One of the best experts on this subject based on the ideXlab platform.
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optimization based Feedforward Control of the strip thickness profile in hot strip rolling
Journal of Process Control, 2018Co-Authors: Katharina Prinz, Andreas Steinboeck, Andreas KugiAbstract:Abstract A new Feedforward Control approach for the thickness profile of the strip in a tandem hot rolling mill is developed. In industry, the automatic gauge Control (AGC) concept is widely used for thickness Control. The AGC has the disadvantage that it does not consider known disturbances from upstream entities. This is why a number of disturbance Feedforward Control concepts have been proposed in the literature. These Feedforward Control strategies typically rely on linearized models and only provide symmetric Control inputs for the mean thickness to the hydraulic adjustment system. In this work, an optimization-based Feedforward Controller for the lateral thickness profile is proposed that fully exploits all degrees of freedom available, i.e., the hydraulic cylinder positions and the bending forces at the drive side and at the operator side of the mill stand. Moreover, it is shown that by linearizing the mill stand model while keeping the nonlinearities from the roll gap model leads to a numerically efficient optimization problem, which is a good compromise between accuracy and computational efficiency. The Feedforward Controllers are further combined with the AGC in the feedback path in a two-degree-of-freedom Controller structure to account for model-plant mismatch. Simulation results for a validated mathematical model and first experimental results from an industrial pilot installation show a significant benefit compared to the existing AGC without Feedforward Control.
Tore Hägglund - One of the best experts on this subject based on the ideXlab platform.
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robust qft based pid Controller for a Feedforward Control scheme
IFAC-PapersOnLine, 2018Co-Authors: Angeles Hoyo, José Luis Guzmán, Jose Carlos Moreno, Tore HägglundAbstract:Feedforward Control schemes to compensate for disturbances are very well known in process Control. In those Control approaches, PID Controllers are usually considered in the feedback loop, where nominal design for both feedback and Feedforward Controllers are commonly performed. This paper presents a robustness analysis to study how uncertainties can affect the classical Feedforward Control scheme. Afterwards, a robust PID Controller is designed by using Quantitative Feedback Theory to account for these uncertainties and to fulfill robust specificaitons for the regulation Control problem. Results based on frequency and time domains are presented.
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Performance indices for Feedforward Control
Journal of Process Control, 2015Co-Authors: José Luis Guzmán, Tore Hägglund, Max Veronesi, Antonio VisioliAbstract:In this paper, a performance benchmark for the assessment of two Feedforward Control architectures for the load disturbance compensation problem is proposed. In particular, two indices are devised so that the advantage of using a Feedforward compensator with respect to the use of a feedback Controller only is quantified. Furthermore, these metrics will help to make quantitative comparisons among different Feedforward Control schemes and tuning rules. Analysis and simulation results are given to demonstrate the effectiveness of the proposed approach.
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A comparison of two Feedforward Control structure assessment methods
International Journal of Adaptive Control and Signal Processing, 2003Co-Authors: Mikael Petersson, Karl-erik Årzén, Tore HägglundAbstract:The most common loop in an industrial plant is a SISO-loop with a PI(D)Controller. If the loop is affected by disturbances,these can be handled by adding a Feedforward Control action. In an industrial Control system there are many measured signals, apart from those of the loop, available. The question we address in this article is how to select the Feedforward variable out of the available measurements. A comparison is made of two methods for Feedforward Control structure assessment. The first is a method based on comparing the actual variance with the minimum achievable variance,and thus the contribution to the overall variance. The second is a method for evaluating deterministic additive disturbances and estimate where they enter in the process. The methods complement each other and show that assessmentmethods should be handled with care, since they are mostly designed fordifferent Control objectives. (Less)
