Offset-free nonlinear Model Predictive Control with state-space process models
نویسندگان
چکیده
منابع مشابه
Disturbance modeling and state estimation for offset-free predictive control with state-space process models
Disturbance modeling and design of state estimators for offset-free Model Predictive Control (MPC) with linear state-space process models is considered in the paper for deterministic constant-type external and internal disturbances (modeling errors). The application and importance of constant state disturbance prediction in the state-space MPC controller design is presented. In the case with a ...
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Model predicti®e control algorithms achie®e offset-free control objecti®es by adding integrating disturbances to the process model. The purpose of these additional disturbances is to lump the plant-model mismatch andror unmodeled disturbances. Its effecti®eness has been pro®en for particular square cases only. For systems with a number of ( ) ( ) measured ®ariables p greater than the number of ...
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In this paper a method for designing robust offset-free MPC controllers for (possibly) nonzero targets is presented. The proposed controller is guaranteed to track the controlled variable to its target for any plant that lies in a polytopic region. First, an off-line design of a robust unconstrained offset-free controller is accomplished, and a corresponding invariant region is computed in whic...
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This work addresses the problem of offset-free Model Predictive Control (MPC) when tracking an asymptotically constant reference. In the first part, compact and intuitive conditions for offset-free MPC control are introduced by using the arguments of the internal model principle. In the second part, we study the case where the number of measured variables is larger than the number of tracked va...
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ARX models, is a suitable model class for linear control implementations. The parameter estimation problem is convex and easily handed for both SISO and MIMO system in contrast to ARMAX or State Space model. Model predictive control implementations insuring offset-free tracking are discussed and related. Special attention is given to an adaptive disturbance estimation method with time-varying f...
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ژورنال
عنوان ژورنال: Archives of Control Sciences
سال: 2017
ISSN: 2300-2611
DOI: 10.1515/acsc-2017-0035