This paper concerns the model reference adaptive control of non-linear multivariable systems. For this purpous, we make use of the interactor structure estimation and the adaptivecontrol technique for linear systems.
This paper concerns the model reference adaptive control of non-linear multivariable systems. For this purpous, we make use of the interactor structure estimation and the adaptivecontrol technique for linear systems.
In this paper, we propose a new adaptive fuzzy control scheme called modelreferenceadaptive fuzzy control (MRAFC). The MRAFC scheme employs a referencemodel to provide closed-loop performance feedback for generatin...
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In this paper, we propose a new adaptive fuzzy control scheme called modelreferenceadaptive fuzzy control (MRAFC). The MRAFC scheme employs a referencemodel to provide closed-loop performance feedback for generating or modifying a fuzzy controller's knowledge base. The MRAFC scheme grew from ideas in conventional model reference adaptive control (MRAC). The MARFC scheme is developed to perform adaptive feedback linearization to a class of nonlinear systems. A class of fuzzy controllers, which can be expressed in an explicit form, is used as the primary controller. Based on Lyapunov's second method, we have developed MARFC schemes and derived fuzzy rule adaptive laws. Hence, not only the stability of the system can be assured but also the performance, such as the issues of robustness and parameter convergence, of the MRAFC system can be analyzed explicitly. We showed that in the case of no modeling error, the state error converges to zero asymptotically. In the case that persistent excitation is satisfied, we showed that the MRAFC system is asymptotically stable. By considering the periodic signal as reference input signal, we showed that the square wave can make the MRAFC system be persistently excited. The feasibility of applying these techniques has been demonstrated by considering the control of an inverted pendulum in following a referencemodel response.
A new control strategy for sensorless vector control of doubly-fed induction machines is presented. The system is based on a rotor current modelreferenceadaptive system (MRAS). The output of the observer is the rota...
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A new control strategy for sensorless vector control of doubly-fed induction machines is presented. The system is based on a rotor current modelreferenceadaptive system (MRAS). The output of the observer is the rotational speed and rotor position angle is used to modulate/demodulate the rotor currents and voltages. A small-signal model is analysed. Experimental results for a stand-alone doubly-fed induction generator are presented.
This paper presents a model reference adaptive control strategy for active steering of 2WS cars which is realized by steer-by-wire technology. The ideal fixed property of a steering system which is provided by a refer...
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ISBN:
(纸本)0780371941
This paper presents a model reference adaptive control strategy for active steering of 2WS cars which is realized by steer-by-wire technology. The ideal fixed property of a steering system which is provided by a referencemodel is attained by D* control. The proposed method can treat the nonlinear relationships between the slip angles and the lateral forces on tires, and the uncertainties on the friction of the road surface, whose compensations are proved to be very important under critical situations. Some results of realtime simulation with a steering equipment show the effectiveness of the proposed method.
This paper introduces a neural network based model reference adaptive control architecture that allows adaptation in the presence of saturation. The given plant is approximately feedback linearized, with adaptation us...
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This paper presents a fuzzy logic approach for switching multiple referencemodels, within the model reference adaptive control (MRAC) framework, in response to major changes in the plant operating conditions. Followi...
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This paper focuses on the implementation of direct model reference adaptive control (DMRAC) for a multi degree-of-freedom, disc-shaft torsional system with varying plant parameters. the feedforward compensator for DMR...
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In order to construct stable adaptivecontrol systems, several assumptions are necessary, and those require some prior information of unknown plants, such as degrees and relative degrees. However, those assumptions so...
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The control of nonlinear aeroelastic response of a wing section with a continuous stiffening-type structural nonlinearity is examined through analytical and experimental studies. Motivated by the limited effectiveness...
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The control of nonlinear aeroelastic response of a wing section with a continuous stiffening-type structural nonlinearity is examined through analytical and experimental studies. Motivated by the limited effectiveness of using a single, trailing-edge control surface for the suppression of limit-cycle oscillations of a typical wing section, improvements in the control of limit-cycle oscillations are investigated through the use of multiple control surfaces, namely, an additional leading-edge control surface. The control methodology consists of a feedback linearization approach that transforms the system equations of motion via Lie algebraic methods and a model reference adaptive control strategy that augments the closed-loop system to account for inexact cancellation of nonlinear terms due to modeling uncertainty. Specifically, uncertainty in the nonlinear pitch stiffness is examined. It is shown through simulations and experiments that globally stabilizing control may be achieved by using two control surfaces.
In order to construct stable adaptivecontrol systems, several assumptions are necessary, and those require some prior information of unknown plants, such as degrees and relative degrees. However, those assumptions so...
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In order to construct stable adaptivecontrol systems, several assumptions are necessary, and those require some prior information of unknown plants, such as degrees and relative degrees. However, those assumptions sometimes impose restrictions, since it is di±cult to obtain reasonable estimations of those indices a priori for unknown practical processes. In this paper, we review our methodologies where some of those assumptions can be relaxed partially. The basic concepts behind those methodologies and the restrictions are summarized, and the future possibilities of our methods are also discssed.
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