The aim of this paper is to introduce a combination of two control techniques proposed in the 90's, namely the Smooth Sliding control (SSC) and the Binary model reference adaptive control (BMRAC) that shares commo...
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This paper features the use of a model reference adaptive controller (MRAC) for the inner loop of a grid-forming inverter (GFM). The gradient algorithm is based on the discrete-time model of the converter and its stat...
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This work considers the adaptive repair rate design of a multi-state reparable system modeled by coupled transport and integro-differential equations. A reparable system is one which can be restored to satisfactory op...
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This paper develops an adaptive direct power control scheme for grid-interactive inverters while the control parameters are adaptively adjusted as the filter parameters may vary under different conditions. To demonstr...
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ISBN:
(纸本)9781665436359
This paper develops an adaptive direct power control scheme for grid-interactive inverters while the control parameters are adaptively adjusted as the filter parameters may vary under different conditions. To demonstrate the efficacy and robustness of the adaptive operation, the performance of the adaptivecontroller is compared with a typical direct power controller by estimating the filter impedances using a modelreference parameter estimation technique. The simulation results verify that the developed adaptive methodology can track the reference power setpoints under output circuit parameter uncertainties while the typical design leads to instability. The developed method was tested using MATLAB/Simulink software to demonstrate the effectiveness of the proposed method. The results verify that adaptively tuning the control parameter can still maintain stable operation if the control gains are poorly selected while applying the classical method leads to abnormal operation or instability.
The nonlinear factors in the digital hydraulic cylinder will reduce the accuracy of the control system. In order to improve the control accuracy of the control system, in this paper, a modelreferenceadaptive disturb...
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The nonlinear factors in the digital hydraulic cylinder will reduce the accuracy of the control system. In order to improve the control accuracy of the control system, in this paper, a modelreferenceadaptive disturbance rejection control method based on neural network is proposed. Firstly, the dead zone model is used to replace the nonlinear link in the feedback mechanism. A detailed mathematical model of digital hydraulic cylinder is established and the nonlinear hydraulic spring force is also considered, and a complete nonlinear state space model of digital hydraulic cylinder is derived based on LuGre friction model. Then the referencemodel is designed. By introducing ESO (extended state observer), the uncertainties and external disturbances of the controlled object are all equivalent to a total disturbance. The RBF (Radial Basis Function) network is used to approximate the unknown function FZ, the neural modelreferenceadaptive disturbance rejection composite controller is designed by using Lyapunov direct method and Barbalat lemma. Finally, the simulation verification is carried out by using MATLAB. The simulation results show that the control strategy can effectively improve the response characteristics of the system, reduce the steady-state error of the system, and improve the robustness of the system.
This thesis will focus on research based on local model reference adaptive control method for design parameter optimization system, through theoretical derivation, determine the system and the adaptive law using MATLA...
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In this work, the practical implementation of magnetic end effector is presented using magnetic levitation (Maglev) system as a working prototype, due to their similar functionality. Maglev refers to a method by which...
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In this work, the practical implementation of magnetic end effector is presented using magnetic levitation (Maglev) system as a working prototype, due to their similar functionality. Maglev refers to a method by which an object can be suspended with the aid of a magnetic field. The motive of this research is to propose a novel fractional-order enhanced model reference adaptive controller (FOEMRAC)-based approach for controlling the stability of the levitating magnetic objects. FOEMRAC uses modified MIT rule as the adaptation mechanism in this system. The stability analysis of Maglev system has been conducted using Matignon theorem. The simulation is carried out using Quanser Maglev system, and a comparative study is conducted with other existing state-of-the-art approaches. The integral error criterion including integral absolute error, integral square error, and integral time absolute error, and other performance metrics such as rise time, settling time, overshoot, and undershoot have been used to compare the robustness of the controllers under nominal, load disturbance, and parametric uncertain environments. Further, the results are verified on the hardware in real time which reveal that FOEMRAC shows efficient results than other controllers and thus can be used to enhance the performance of the magnetic end effector in real-time environment.
This manuscript deals with the trajectory-tracking problem for linear time-invariant systems with parameter uncertainties and time-dependent external perturbations. A robust finite-time modelreferenceadaptive contro...
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This manuscript deals with the trajectory-tracking problem for linear time-invariant systems with parameter uncertainties and time-dependent external perturbations. A robust finite-time model reference adaptive controller is proposed. In the absence of external perturbations, the proposed controller ensures finite-time convergence to zero of the tracking and parameter identification errors. In presence of time-dependent external perturbations, the tracking and parameter identification errors converge to a region around the origin in a finite time. The convergence proofs are developed based on Lyapunov and input-to-state stability theory. Finally, simulation results in an academic example and a flexible-joint robot manipulator show the feasibility of the proposed approach.
This paper designs a new robust model reference adaptive control (MRAC) architecture in the requirement of large adaptation gain to achieve fast adaptation for performance recovery. lt is well known that traditional s...
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To realize the hybrid magnetic bearing (HMB) nonlinear decoupling control with high precision, a strategy of model reference adaptive control (MRAC) based on the least square support vector machine (LS-SVM) inverse is...
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