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A flatness-based approach to internal model control
2006 American Control Conference, 2006The design principle of internal model control (IMC) focuses on developing a feedforward controller which also acts in the feedback loop to attenuate disturbances. This paper uses ideas developed in the theory of flat systems for the design of feedforward controllers and adapts them to IMC control.
Dieter Schwarzmann +2 more
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DESIGN OF FUZZY FLATNESS-BASED CONTROLLER FOR A DC DRIVE
Control and Intelligent Systems, 2010Summary: A combined approach associating the flatness principle to the fuzzy logic control techniques is proposed and applied to a DC drive supplied by an AC-DC power converter. The basic of this control strategy consists in planning a reference trajectory using the flatness property of linear systems.
Joseph Haggège +3 more
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Flatness-based online controller reconfiguration
2008 34th Annual Conference of IEEE Industrial Electronics, 2008It is a frequent wish for mechatronic systems to be able to adapt themselves to changing environmental conditions at runtime. Self-adapting behavior may require complex reconfigurations of controllers in the shape of mode management and control algorithms. These changes ought to be executed at runtime without shutting the system down. As this procedure
S. Osmic, A. Trachtler
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Flatness Based Control of an Injection Moulding Machine
2013This contribution deals with the modelling and control of an injection moulding process. In injection moulding especially the appearance of a work piece depends much on the exact compliance with certain trajectories of temperature or pressure in the mould.
Sven-Olaf Lindert +2 more
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A differential flatness based model predictive control approach
2012 IEEE International Conference on Control Applications, 2012In this contribution a novel extension to model predictive control for a certain class of input affine nonlinear systems is proposed, which satisfy the property of differential flatness and are of minimum phase. By feedforward linearization of the nonlinear system via a flatness based control law, the problem of nonlinear model predictive control is ...
Kandler, Christoph +4 more
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Flatness based control of oscillators
ZAMM, 2005Summary: The aim of this paper is to present some recent developments and hints for future researches in control inspired of flatness-based ideas. We focus on motion planning: Steering a system from one state to another. We do not consider stabilization and trajectory tracking.
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Flatness-based feedforward control design for flexible structures
2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006This contribution presents a solution to the feedforward tracking control problem for flexible beam structures. The design methodology is based on the modal analysis of the structural dynamics to determine an inverse system representation by parameterizing modal states and system input in terms of a parameterizing function and its time-derivatives ...
Becker, Jens +2 more
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Flatness-Based Control of a Simplified Wastewater Treatment Plant
2006 IEEE International Conference on Control Applications, 2006This paper presents a nonlinear control approach for a simplified activated sludge model that covers the reduction of biodegradable substrate in biological wastewater treatment. In the proposed control scheme, the volume flow of oxygen into the aeration tank and the volume flow of excess sludge out of the settler tank are utilized as manipulated ...
Harald Aschemann +3 more
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Flatness-Based Control of Drilling Vibrations
2015In nonlinear systems theory, the flatness property refers to the ability for dynamical systems of being exactly linearized via endogenous feedback. A system satisfying the flatness property is called a differentially flat system. The main attribute of flat systems is that the state and input variables can be directly expressed without integrating any ...
Martha Belem Saldivar Márquez +3 more
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Linear predictive control revisited: A flatness based approach
1999 European Control Conference (ECC), 1999A novel formulation of linear model-based predictive control is presented. Predicted flat output trajectories and stabilization around these trajectories constitute the main components of our predictive control approach. A simple dc motor and a cement mill model illustrate the principal features of the method.
Richard Marquez, Michel Fliess
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