131 research outputs found
Integral MRAC with Minimal Controller Synthesis and bounded adaptive gains: The continuous-time case
Model reference adaptive controllers designed via the Minimal Control Synthesis (MCS) approach are a viable solution to control plants affected by parameter uncertainty, unmodelled dynamics, and disturbances. Despite its effectiveness to impose the required reference dynamics, an apparent drift of the adaptive gains, which can eventually lead to closed-loop instability or alter tracking performance, may occasionally be induced by external disturbances. This problem has been recently addressed for this class of adaptive algorithms in the discrete-time case and for square-integrable perturbations by using a parameter projection strategy [1]. In this paper we tackle systematically this issue for MCS continuous-time adaptive systems with integral action by enhancing the adaptive mechanism not only with a parameter projection method, but also embedding a s-modification strategy. The former is used to preserve convergence to zero of the tracking error when the disturbance is bounded and L2, while the latter guarantees global uniform ultimate boundedness under continuous L8 disturbances. In both cases, the proposed control schemes ensure boundedness of all the closed-loop signals. The strategies are numerically validated by considering systems subject to different kinds of disturbances. In addition, an electrical power circuit is used to show the applicability of the algorithms to engineering problems requiring a precise tracking of a reference profile over a long time range despite disturbances, unmodelled dynamics, and parameter uncertainty.Postprint (author's final draft
Discrete-time integral MRAC with minimal controller synthesis and parameter projection
Model reference adaptive controllers with Minimal Control Synthesis are effective control algorithms to guarantee asymptotic convergence of the tracking error to zero not only for disturbance-free uncertain linear systems, but also for highly nonlinear plants with unknown parameters, unmodeled dynamics and subject to perturbations. However, an apparent drift in adaptive gains may occasionally arise, which can eventually lead to closed-loop instability. In this paper, we address this key issue for discrete-time systems under L-2 disturbances using a parameter projection algorithm. A consistent proof of stability of all the closed-loop signals is provided, while tracking error is shown to asymptotically converge to zero. We also show the applicability of the adaptive algorithm for digitally controlled continuous-time plants. The proposed algorithm is numerically validated taking into account a discrete-time LTI system subject to parameter uncertainty, parameter variations and L-2 disturbances. Finally, as a possible engineering application of this novel adaptive strategy, the control of a highly nonlinear electromechanical actuator is considered. (C) 2015 The Franldin Institute. Published by Elsevier Ltd. All rights reserved.Postprint (author's final draft
Control Adaptativo por Modelo de Referencia con SĂntesis de Controlador MĂnima
En este trabajo se revisa la tĂ©cnica de control adaptativo por modelo de referencia con sĂntesis de controlador mĂnima y se
relacionan las diferentes extensiones del método que se encuentran en la literatura especializada.Postprint (published version
Analysis of the dynamics of an active control of the surface potential in metal oxide gas sensors
Postprint (author's final draft
Galerkin method and approximate tracking in a non-minimum phase bilinear system
The tracking control of non-minimum phase systems is nowadays an open and challenging field, because a general theory is still not available. This article proposes an indirect control strategy in which a key role is played by the inverse problem that arises and their approximate solutions. These are obtained with the Galerkin method, a standard functional analysis tool. A detailed study of the effect on the output caused by the use of an approximate input is performed. Error bounds are also provided. The technique is motivated through its implementation in basic, DC-to-DC nonlinear power converters that are intended to be used as DC-to-AC voltage sources.Peer Reviewe
Existence of periodic solutions with nonconstant sign in a class of generalized abel equations
This article provides sufficient conditions for the existence of periodic solutions with nonconstant sign in a family of polynomial, non-auto-nomous, firrst-order diferential equations that arise as a generalization of the Abel equation of the second kind.Postprint (published version
Switching frequency regulation in sliding mode control by a hysteresis band controller
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksFixing the switching frequency is a key issue in sliding mode control implementations. This paper presents a hysteresis band controller capable of setting a constant value for the steady-state switching frequency of a sliding mode controller in regulation and tracking tasks. The proposed architecture relies on a piecewise linear modeling of the switching function behavior within the hysteresis band, and consists of a discrete-time integral-type controller that modifies the amplitude of the hysteresis band of the comparator in accordance with the error between the desired and the actually measured switching period. For tracking purposes, an additional feedforward action is introduced to compensate the time variation of the switching function derivatives at either sides of the switching hyperplane in the steady state. Stability proofs are provided, and a design criterion for the control parameters to guarantee closed-loop stability is subsequently derived. Numerical simulations and experimental results validate the proposal.Accepted versio
Iterative approximation of unstable limit cycles for a class of Abel equations
This report considers the analytical approximation of unstable limit cycles that may appear in Abel equations written in the normal form. The procedure uses an iterative approach that takes advantage of the contraction mapping theorem. Thus, the obtained sequence exhibits uniform convergence to the target periodic solution. The effectiveness of the technique is illustrated through the approximation of an unstable limit cycle that appears in an Abel equation arising in a tracking control problem that affects an elementary, nonminimum phase, second order bilinear power converter
Design and Analysis Strategies for Digital Repetitive Control Systems with Time-Varying Reference/Disturbance Period
This article introduces and analyzes the performance
features of different design schemes for digital repetitive
control systems subject to references/disturbances that exhibit
non-uniform frequency. Aiming for the maintenance of a
constant value for the ratio Tp/Ts, where Tp is the period of
the reference/disturbance signal and Ts is the sampling period,
two approaches are proposed. The first one deals with the realtime
adaptation of Ts to the actual changes of Tp; the stability
issue is studied by means of an LMI gridding method and also
using robust control techniques. The second one propounds the
introduction of an additional compensator that annihilates the
effect of the time-varying sampling in the closed-loop system
and forces its behavior to coincide with the one corresponding
to an a priori selected nominal sampling period; the procedure
needs the internal stability of the compensator-plant subsystem,
which is checked by means of LMI gridding. The theoretical
results are experimentally tested and compared through a
mechatronic plant model.Postprint (published version
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