This paper presents an adaptively augmented LQR controller for the FSD ExtremeStar, a high agility model airplane. Uncertainties in the control effectiveness are compensated by a direct modelreferenceadaptive contro...
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ISBN:
(纸本)9781479986842
This paper presents an adaptively augmented LQR controller for the FSD ExtremeStar, a high agility model airplane. Uncertainties in the control effectiveness are compensated by a direct model reference adaptive controller (MRAC), which uses closed-loop referencemodels (CRMs). Simulation results on a nonlinear plant with actuator dynamics and sensor models indicate that the CRM adaptivecontroller provides additional robustness to plant uncertainties and unmodeled dynamics compared to the classical MRAC architecture, where an open-loop referencemodel is employed.
Aiming at the stability of smart structure vibration control, a model reference adaptive control (MRAC) algorithm based on Lyapunov's second method is used to suppress vibration of a simple plate. The state equati...
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In this paper we formulate and solve the problem of model reference adaptive control for unit memory discrete repetitive processes by employing a lifting technique that allows us to view the system as a first-order mu...
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ISBN:
(纸本)9781424453634
In this paper we formulate and solve the problem of model reference adaptive control for unit memory discrete repetitive processes by employing a lifting technique that allows us to view the system as a first-order multivariable plant. An adaptivecontroller gain adjustment algorithm in the iteration domain is given that ensures convergence of the tracking error between the output of the process and the output of a given referencemodel when the plant and referencemodel are driven by the same input.
In this paper, an adaptive learning algorithm is proposed for an interval type-2 fuzzy fractional order controller. The use of fractional order controller adds more degrees of freedom which makes it possible to obtain...
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In this paper, an adaptive learning algorithm is proposed for an interval type-2 fuzzy fractional order controller. The use of fractional order controller adds more degrees of freedom which makes it possible to obtain superior performance in comparison with ordinary differential controllers. A fractional order referencemodel is used to define the desired trajectory of the nonlinear dynamic system. The structure of the system is based on the feedback error learning method. The stability of the adaptation laws is proved using Lyapunov theory. In order to test the efficiency and efficacy of the proposed learning and the control algorithm, the trajectory tracking problem of a magnetic rigid spacecraft is studied. The simulation results show that the proposed control algorithm outperforms the case when ordinary differential fuzzy controller is used. Furthermore, it is shown that it is possible to define a master chaotic system as a referencemodel and obtain synchronization between the two chaotic systems using the proposed approach. In the simulation part the synchronization between two Duffing-Holmes system is also achieved. In order to show the implementability of the proposed method, it is used to control a real time laboratory setup 2-DOF helicopter. It is shown that the proposed fractional order controller can be implemented in a low cost embedded system and can successfully control a highly nonlinear dynamic system. (C) 2016 Elsevier B.V. All rights reserved.
Based on the variable structure model reference adaptive control (VS-MRAC) theory, a new adaptivecontrol system for the attitude control of satellites in elliptic orbits with uncertain dynamics, using solar radiation...
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This paper deals with the precision control of tumbling multibody systems with uncertainties present in the descriptions of their mathematical models. A generic tumbling multibody system consisting of a rigid body wit...
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This paper deals with the precision control of tumbling multibody systems with uncertainties present in the descriptions of their mathematical models. A generic tumbling multibody system consisting of a rigid body with internal degrees of freedom is used. A two-step control methodology is developed. First, a nominal system is conceived that best approximates the actual physical system. An analytical dynamics-based control methodology is used to obtain the nominal control force that ensures that this nominal system satisfies the control requirements. This is done using the control methodology proposed by Udwadia ("Optimal Tracking control of Nonlinear Dynamical Systems," Proceedings of the Royal Society of London, Series A: Mathematical and Physical Sciences, Vol. 464, 2008, pp. 2341-2363). Second, an additional compensating generalized control force is designed to ensure that the actual controlled (uncertain) system tracks the trajectories of the nominal system so that the control requirements are also met by the actual system. This paper deals primarily with the second step and its combination with the first. Uncertainties in both the description of the system as well as the forces acting on it are considered. No linearizations or approximations are made in either of the steps, and the full nonlinear dynamical system is considered. The efficacy of the control methodology is demonstrated by applying it to two tumbling uncertain multibody dynamical systems.
This paper proposes a novel active damping scheme to suppress LCL-filter resonance with only grid-current feedback control in grid-connected voltage-source converters. The idea comes from the concept of the model refe...
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This paper proposes a novel active damping scheme to suppress LCL-filter resonance with only grid-current feedback control in grid-connected voltage-source converters. The idea comes from the concept of the model reference adaptive control (MRAC). A detailed theoretical derivation is given, and the effectiveness of this method is explained based on its physical nature. According to the control structure of this method, the active damping compensator, which is essentially a second order resonant integrator (SORI) filter, provides an effective solution to damp LCL resonance and to eliminate the need for additional sensors. Compared with extra feedback methods, the cost and complexity are reduced. A straightforward tuning procedure for the active damping method has been presented. A stability analysis is illustrated in the discrete domain while considering a one-step delay. Finally, experimental results are presented to validate the analysis and to demonstrate the good performance of the proposed method.
The discrete time model reference adaptive control (MRAC) techniques have some important properties. They can be used successfully to the control of different type of Single Input and Single Output (SISO) systems: Lin...
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The discrete time model reference adaptive control (MRAC) techniques have some important properties. They can be used successfully to the control of different type of Single Input and Single Output (SISO) systems: Linear Time Invariant (LTI) systems with unknown parameters and Linear Parameter Varying (LPV) systems. This method can be considered also as a nonlinear control design, where the system parameters will be updated in each iteration.
In this paper, an adaptive, disturbance-based sliding-mode controller for hypersonic-entry vehicles is proposed. The scheme is based on high-order sliding-mode theory, and is coupled to an extended sliding-mode observ...
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In this paper, an adaptive, disturbance-based sliding-mode controller for hypersonic-entry vehicles is proposed. The scheme is based on high-order sliding-mode theory, and is coupled to an extended sliding-mode observer, able to reconstruct online the disturbances. The result is a numerically stable control scheme, able to adapt online to reduce the error in the presence of multiple uncertainties. The transformation of a high-order sliding-mode technique into an adaptive law by using the extended sliding-mode observer is, together with the multi-input/multi-output formulation for hypersonic-entry vehicles, the main contribution of this paper. The robustness is verified with respect to perturbations in terms of initial conditions, atmospheric density variations, as well as mass and aerodynamic uncertainties. Results show that the approach is valid, leading to an accurate disturbance reconstruction, to a better transient, and to good tracking performance, improved of about 50% in terms of altitude and range errors with respect to the corresponding standard sliding-mode-control approach.
For today's commercial airliners, modern fly-by-wire systems provide excellent handling qualities and disturbance rejection capability, which significantly reduce pilot workload during manual flight, thus potentia...
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For today's commercial airliners, modern fly-by-wire systems provide excellent handling qualities and disturbance rejection capability, which significantly reduce pilot workload during manual flight, thus potentially increasing flight safety. However, in case of severe system failures or unexpected dynamics, many systems immediately degrade to direct mode, where the expected functions and protections degrade or even disappear. This paper assesses whether, with only pitch rate measurable, an emergency longitudinal controller built for a large transport aircraft featuring unstable pitch-up nonlinearities can provide acceptable handling qualities. A requirement-driven, sequential synthesis controller design process is developed, integrating quantitative feedback theory and L-1 piecewise constant output-feedback control theory. The quantitative feedback technique is used to generate a fixed-gain controller to avoid airspeed or dynamic pressure based gain scheduling and provide level 1 handling qualities without existence of the pitch-up nonlinearity. L-1 augmentations are further introduced to eliminate the performance degradation caused by the pitch-up nonlinearity. The fixed-gain controller and the L-1 controllers perform satisfactorily regarding performance and robust metrics within the entire envelope.
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