This paper presents a decentralized model reference adaptive control design for continuous time linear time invariant interconnected large-systems. The scheme of adaptation is based on the concept of dynamic certainty...
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This paper presents a decentralized model reference adaptive control design for continuous time linear time invariant interconnected large-systems. The scheme of adaptation is based on the concept of dynamic certainty equivalence (DyCE) and incorporates the design of a decentralized fixed(non-adaptive) compensator in the error feedback loop. The fixed compensator is used to attain the strictly properness of an error transfer function matrix against the cross-coupling effects, furthermore it can realize the high performance of a tracking. The key features of our control design are: (1) use of design for the decentralized fixed compensator, and (2) use of a robust high-order estimator with σ-modification for the effects of cross-coupling.
The aim of this research is to investigate the experimental implementation of a control technique, based on the modelreferenceadaptive estimation and control (MRAEC), on a continuous flow fermentation process. This ...
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The aim of this research is to investigate the experimental implementation of a control technique, based on the modelreferenceadaptive estimation and control (MRAEC), on a continuous flow fermentation process. This method is derived from the nonlinear structure of the process model. The control problem of the substrate concentration is considered. The objective of this paper is to show the advantages and drawbacks of this algorithm in terms of tracking, regulation and overshoot. The adaptive estimation and control theory is then explained, with an application on a pilot-plant fermenter. The experimental results are presented and show the control performances. Note that the proposed control algorithm is not limited to a fermentation process but can be applied to other biotechnological processes.
This paper addresses the problem of designing sliding control of uncertain systems which are free of chattering and result in smooth control signals. Both state and output feedback are considered. The proposed approac...
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This paper addresses the problem of designing sliding control of uncertain systems which are free of chattering and result in smooth control signals. Both state and output feedback are considered. The proposed approach relies on some appropriate prediction error and can be easily applied to modify the usual state feedback VSC for chattering avoidance. It can also be applied for devising new output feedback VSC laws. The robustness improvement, with respect to unmodelled dynamics, even allows one to reconsider the so far rejected utilization of approximate differentiators for VSC output feedback. The theoretical results are illustrated by simulations. An experimental evaluation is briefly discussed. (C) 1997 by John Wiley & Sons, Ltd.
作者：
Lin, FJSu, HMLaboratory of Chromatography
DEPg.Fac.Quimica Universidad Nacional Autonoma de Mexico Circuito interior Cd Universitaria/CP 04510 Mexico D.F.Mexico
A high-performance induction motor (IM) speed drive with on-line adaptive rotor time-constant estimation and a proposed recursive least square (RLS) estimator is introduced in this paper. The estimation of the rotor t...
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A high-performance induction motor (IM) speed drive with on-line adaptive rotor time-constant estimation and a proposed recursive least square (RLS) estimator is introduced in this paper. The estimation of the rotor time-constant is on the basis of the modelreferenceadaptive system (MRAS) theory;and the rotor inertia constant, the damping constant, and the disturbed load torque of the IM are estimated by the proposed RLS estimator, which is composed of an RLS estimator and a torque observer. Moreover, an integral proportional (IP) speed controller is designed on-line according to the estimated rotor parameters;and the observed disturbance torque is fed forward to increase the robustness of the induction motor speed drive.
This paper deals with the design and experimental realization of a speed model reference adaptive control (MRAC) system for indirect field-oriented (IFO) induction motor drives based on using fuzzy laws for the adapti...
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This paper deals with the design and experimental realization of a speed model reference adaptive control (MRAC) system for indirect field-oriented (IFO) induction motor drives based on using fuzzy laws for the adaptive process and a neuro-fuzzy procedure to optimize the fuzzy rules. Variation of the rotor time constant is also accounted by performing a fuzzy fusion of three simple compensation strategies. A performance comparison between the new controller and a conventional MRAC control scheme is carried out by extensive simulations confirming the superiority of the proposed fuzzy adaptive regulator. A prototype based on an induction motor drive has been assembled and used to practically verify the features of the proposed control strategy.
Hardware implementation of discrete adaptivecontrol for a full scale vehicular single degree of freedom (SDOF) active suspension has been discussed in this paper. This paper describes an experimental evaluation of fu...
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Hardware implementation of discrete adaptivecontrol for a full scale vehicular single degree of freedom (SDOF) active suspension has been discussed in this paper. This paper describes an experimental evaluation of full scale fail-safe adaptive active (SDOF) suspension system that has been performed for the first time. A servo hydraulic force actuator is installed along with passive suspension components to form a fail-safe active suspension. A discrete model reference adaptive control (DMRAC) approach with recursive least square (RLS) estimation and covariance modification has been used for the software/hardware based digital control. A real time computer controlled adaptive active suspension software which shows the experimental response and animation of the results has been developed.
Based on the variable structure model reference adaptive control (VS-MRAC) theory, a new control system for the control of wing-rock motion of slender delta wings, using only roll angle measurement, is designed. For t...
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A rather slow adaptation to parameter variations is achieved in those servosystems which contain a PI controlled inner control loop and the outer control loop with a referent model and parameter adaptation. This paper...
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A rather slow adaptation to parameter variations is achieved in those servosystems which contain a PI controlled inner control loop and the outer control loop with a referent model and parameter adaptation. This paper is concerned with involvement of the referent model and parameter adaptation in the inner control loop of the servo system, while keeping the PI controller in an outer control loop. A very fast adaptation was achieved by optimization of parameter adaptation algorithm coefficients for a given range of variations of a drive moment of inertia An impact of a sampling interval and state variable estimator on the maximum value of a referent model tracking error during transient response has investigated. En appliquant le modèle référentiel et I'adaptation paramétrique comme une boucle extérieure des systémes de transmission, contenant la boucle intérieur avec un régulateur PI, I'on obtient une lente adaptation aux variations des paramétres. Dans la présente I'on a appliqué le modèle referentiel et I'adaptation paramétrique comme une boucle intérieur des systèmes de transmission, contenant la boucle exterieur avec un régulateur PI. En optimisant les coefficients de I'algorithme d'adaptation paramètrique I'on a obtenu une prompte adaptation dans le champ afférent d'une variation du moment d'inertie du système de transmission. L'on a examiné aussi l'influence de l'intervalle de discretion et de l'estimateur des variables d'etat sur l'erreur maximale de la transmission du modèle référentiel clans la période de la réaction.
A class of integral, hysteretic control influence operators is derived for the representation of structural systems exhibiting hysteresis due to active materials. The hysteretic control influence operator is defined i...
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A class of integral, hysteretic control influence operators is derived for the representation of structural systems exhibiting hysteresis due to active materials. The hysteretic control influence operator is defined in terms of a probability distribution, or more generally a measure, that describes the concentration of a particular hysteresis kernel. Specifically, two types of hysteresis kernels are studied in detail: the ideal relay kernel leading to a Preisach integral hysteresis operator and a generalized play kernel leading to a Krasnosel'skii-Pokrovskii operator. When combined with the thermal and structural dynamics equations, the governing equations are history-dependent integropartial differential equations, coupled in a cascade structure. Existence, uniqueness, and convergence of Galerkin approximation methods have been derived for the forward simulation and model identification. The cascade structure of the coupled, nonlinear partial differential equations is advantageous in that modelreferencecontrol and model reference adaptive control strategies can be derived for the systems under consideration. Numerical and experimental results that validate the theoretical developments are presented.
This paper deals with adaptivecontrol of linear time-invariant systems with unknown parameters and with two sampling rates: a slower one for the output and a faster one for the input. Recently, adaptivecontrol desig...
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This paper deals with adaptivecontrol of linear time-invariant systems with unknown parameters and with two sampling rates: a slower one for the output and a faster one for the input. Recently, adaptivecontrol design methods with multirate sampling have been developed by some researchers. However, stable plants only are treated in the previous work. The algorithm proposed in this paper is applicable to a class of unstable plants. Experimental results for a servo motor system are shown.
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