Design of MRAS-based adaptive control systems

Cương, Nguyễn Duy; Lanh, Nguyen Van; Huyen, Dang Van

doi:10.1109/iccais.2013.6720534

Cited by 7 publications

(7 citation statements)

References 3 publications

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“…Our numerical work in a near future will be extended for considering Coupled Ring Resonators with Gain and Loss [31], where our code used here will be extended to the system of two coupled NLSE.…”

Section: Discussionmentioning

confidence: 99%

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Spontaneous Symmetry Breaking of Solitons Trapped in a Double-Gauss Potentials

Nguyen¹,

Dinh²,

Cao³

et al. 2018

Comm. in Phys.

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We consider an extended model of the model considered before with double-square potential, namely one-dimensional (1D) nonlinear Schrödinger equation (NLSE) with self-focusing nonlinearity and a 1D double-gauss potential. Spontaneous symmetry breaking has been presented in terms of the control parameter which is propagation constant in the case of optics and chemical potential in the of Bose-Einstein Condensate (BEC), correspondingly. The numerical simulations predict a bifurcation breaking the symmetry of 1D trapped in the double-gauss potential of the supercritical type as in the case of double-square potential. Furthermore we have constructed bifurcation diagrams considering the stability of solitons with three methods: the method using Vakhitov–Kolokolov (V-K) Stability Criterion, Pseudospectral Method and Method for Linear-Stability Eigenvalues. It will be shown that for our model the results obtained are the same for these three methods but the third one is the fastest.

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Section: Discussionmentioning

confidence: 99%

“…In the above figures, solid and dashed lines correspond to stable and unstable states. In order to determine instability of soliton, we use Pseudospectral Method, (V-K) Criterion or use Methods for Linear-Stability Eigenvalues, all of them are described in [31].…”

Section: Iii1 the One-dimensional Setting For Rectangular-well Potementioning

confidence: 99%

Spontaneous Symmetry Breaking of Solitons Trapped in a Double-Gauss Potentials

Nguyen¹,

Dinh²,

Cao³

et al. 2018

Comm. in Phys.

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“…Likewise, the proposed adaptive PID control is a combination of traditional PID and fuzzy logic control schemes (Sarhan and Qin, 2016). A simple adaptive control scheme based on Model Reference Adaptive Systems (MRAS) algorithm is developed for the asymptotic output tracking problems with changing system parameters and disturbances under guaranteeing stability, in which the adaptive adjusting law is derived by using the Lyapunov Theory (Cuong et al, 2013).…”

Section: Literature Reviewmentioning

confidence: 99%

“…For the PID controller, it is simple and robust over a wide range of operating conditions. It has easy adjustment and high reliability (Cuong et al, 2013). It is often the first choice for a new controller design (Cuong et al, 2013).…”

Section: Controllermentioning

confidence: 99%

Adaptive and Neural Network Based Control of Pitch of Unmanned Aerial Vehicles

Matthews¹,

Yi²

2019

Journal of Mechatronics and Robotics

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The objective is to develop a new control strategy for quadrotor types of Unmanned Aerial Systems (UAVs) that assist in closing the existing research gaps between the undesired uncertainties and current control systems. This research investigates a system modeling and the effectiveness of error elimination through adaptation in the change of the plant/system's output. The UAV is controlled via Wi-Fi using MATLAB. Proportional-Integral-Derivative (PID) controller, the two degrees of freedom Proportional-Integral-Derivative (2DOF-PID) controller and the model reference Neural Network (NN) controller are used for the aircraft pitch control. External disturbances and modeling errors can lead to the instability and unpredictable behaviors of a system. Even though the disturbances cannot be avoided the effects of such disturbances can be reduced significantly by neural network-based adaptive controllers for high-performance tracking in the presence of the disturbances. The robust control systems with the adaptive control will improve navigation performance and operation for military, reconnaissance and surveillance applications. The application of a robust controller determines the performance by observing the system's behavior to identify and reduce the unpredictable effects of disturbances and achieve a better behavior of the whole system. By observing the system, the neural network is suitably used to learn from a set of training patterns. System identification uses a neural network to capture the behavior of system dynamics, which assists the neural network to train itself to act as a controller. Moreover, the system's performance of the controllers was tested using simulations to demonstrate the effectiveness in improving the speed and stability for the dynamic system. The presented work will produce a flexible, robust and effective control system model that provides additional stability and reduce the effects of disturbances.

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“…We are going to find the form of the adjustment laws for ‫ܭ‬ , ‫ܭ‬ , ‫ܭ‬ ௗ and ‫ܭ‬ ௗ . The following steps are thus necessary to design an adaptive controller with the method of Lyapunov [3], [6]:…”

Section: Design Of An Adaptive Control Systemmentioning

confidence: 99%

Design of MRAS-based adaptive controllers for motion systems using linear motors

Cương

2014

2014 International Conference on Information Science, Electronics and Electrical Engineering

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This paper introduces an adaptive controller that designed based on Model Reference Adaptive System (MRAS) algorithm for motion systems using linear motors. For a given plant model the adaptive controller is designed such that the closed-loop control system has the characteristics of the desired dynamic system. The resulting controller is known as a combination between an adaptive PID controller and an adaptive feed-forward controller. Stability of the adaptive system is guaranteed by using Lyapunov stability theory for the design. The adaptive algorithm is quite simple, robust and converges quickly. Performances of the controlled system are studied through simulation in Matlab/Simulink environment. The effectiveness of the methods is demonstrated by numerical simulations.

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Design of MRAS-based adaptive control systems

Cited by 7 publications

References 3 publications

Spontaneous Symmetry Breaking of Solitons Trapped in a Double-Gauss Potentials

Spontaneous Symmetry Breaking of Solitons Trapped in a Double-Gauss Potentials

Adaptive and Neural Network Based Control of Pitch of Unmanned Aerial Vehicles

Design of MRAS-based adaptive controllers for motion systems using linear motors

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