This study consists in developing a new nonlinear controller for a battery electric vehicle (BEV) ultra-fast charger based on three-phase Vienna rectifier topology. The control method of the studied AC-DC rectificatio...
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ISBN:
(数字)9781665442800
ISBN:
(纸本)9781665442800
This study consists in developing a new nonlinear controller for a battery electric vehicle (BEV) ultra-fast charger based on three-phase Vienna rectifier topology. The control method of the studied AC-DC rectification stage is performed in order to achieve four objectives: (i) Ensuring a unity power factor during the ultra-fast charging process, (ii) Regulating the DC output voltage to its reference value, (iii) Realizing the neutral point voltage balance of the three-level converter, and (iv) Providing global asymptotic stability of the studied system. based on the mathematical model of three-level converter in (dq) frame, a backstepping-based (BS) control with simplified Space Vector Pulse Width Modulation (SVPWM) has been designed. In order to evaluate dynamic performance of the new nonlinear controller, the achieved results have been compared to the traditional Proportional Integral (PI) control method under load variations. The obtained results prove a good performance of the proposed control strategy. The nonlinear controller has a faster tracking speed, higher quality of dynamic performance, and a total harmonic current distortion (THDi) less than 5% to meet the IEEE 519-2014 standard.
This article is concerned with the exponential mean-square stabilization problem for a class of discrete-time strict-feedback nonlinear systems subject to multiplicative noises. The state-dependent multiplicative nois...
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This article is concerned with the exponential mean-square stabilization problem for a class of discrete-time strict-feedback nonlinear systems subject to multiplicative noises. The state-dependent multiplicative noise is assumed to occur randomly based on a stochastic variable obeying the Gaussian white distribution. To tackle the difficulties caused by the multiplicative noise, a novel backstepping-based control framework is developed to design both the virtual control laws and the actual control law for the original nonlinear system, and such a framework is fundamentally different from the traditional n-step predictor strategy. The proposed design scheme provides an effective way in establishing the relationship between the system states and the controlled errors, by which a noise-intensity-dependant stability condition is derived to ensure that the closed-loop system is exponentially mean-square stable for exactly known systems. To further cope with nonlinear modeling uncertainties, the radial basis function neural network (NN) is employed as a function approximator. In virtue of the proposed backstepping-based control framework, the ideal controller is characterized as a function of all system states, which is independent of the virtual control laws. Therefore, only one NN is employed in the final step of the backstepping procedure and, subsequently, a novel adaptive neural controller (with modified weight updating laws) is presented to ensure that both the neural weight estimates and the system states are uniformly bounded in the mean-square sense under certain stability conditions. The control performance of the proposed scheme is illustrated through simulation results.
In this paper, a novel control scheme is proposed for quadrotor unmanned aerial vehicle(UAV) transportation *** proposed control law successfully achieves efficient quadrotor transferring and rapid swing elimination *...
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ISBN:
(纸本)9781538629185
In this paper, a novel control scheme is proposed for quadrotor unmanned aerial vehicle(UAV) transportation *** proposed control law successfully achieves efficient quadrotor transferring and rapid swing elimination ***, by analyzing the interconnected form of the system, the virtual control input for the outer loop is constructed via an energy-based analysis method, so as to compute the applied thrust and the desired roll angle of the quadrotor. As for the inner loop, a backsteppingcontrol method is utilized without the introduction of the time-scale separation principle, and the equilibrium point of the overall close-loop system is proven to be asymptotically stable by Lyapunov techniques and La Salle’s invariance theorem. Simulation results demonstrate the proposed control law’s superior performance and good robustness against various uncertainties.
This paper considers the problem of active control design for a hysteretic single-degree-of-freedom (SDOF) structural system which is exposed to an earthquake excitation. First, backstepping-based control is used to d...
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This paper considers the problem of active control design for a hysteretic single-degree-of-freedom (SDOF) structural system which is exposed to an earthquake excitation. First, backstepping-based control is used to design a controller for the structural system neglecting the effect of the earthquake disturbance. Then, Lyapunov redesign is utilized to design a robust controller for the system in the presence of the earthquake excitation. The hysteretic part of the structural system is modeled by the well-known Bouc-Wen equation, and this equation is directly utilized in the controller design. The controller is proposed for two cases: (a) when the parameters of the structure and the Bouc-Wen model are known, and (b) when these parameters are uncertain. A Lyapunov function is introduced for the closed-loop system, which guarantees the stability of the system equilibrium point. Since the controllers use the nominal and/or minimum and maximum values of the system parameters, the proposed methods are model based. Numerical evaluations are conducted to show the effectiveness of the proposed method. Seven different earthquakes are considered as the external excitations. Simulation results show that the displacement, velocity, and acceleration responses of the controlled structure are reduced significantly compared to the uncontrolled structure.
In this paper, a disturbance observer-basedbackstepping tracking control is designed for an electro-hydraulic actuator (EHA) system to estimate and track reference signals in a finite time. It is assumed that the sys...
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In this paper, a disturbance observer-basedbackstepping tracking control is designed for an electro-hydraulic actuator (EHA) system to estimate and track reference signals in a finite time. It is assumed that the system is uncertain with unknown upper bounds. Different from the existing ones, the proposed observer can deal with strong uncertainties in which the estimation error converges to an arbitrarily small neighborhood of zero in a finite time. Then, the disturbance observer-basedbackstepping tracking control is provided to compensate the uncertainties and estimation errors and to guarantee the finite -time tracking of the piston position toward the desired time-varying reference signal. The key idea is to employ a monotonically increasing function associated with the control objective to improve the control performance, where the finite-time boundedness criterion is guaranteed using Lyapunov stability analy-sis. Finally, the efficacy of the proposed robust scheme for the EHA system with unknown measurement noise is illustrated in numerical simulations as compared to a leading observer-basedcontrol strategy in the literature. It is shown that the proposed approach results in more accuracy and faster convergence than that in the literature, making it a qualified alternative approach with noteworthy potential.(c) 2022 Published by Elsevier Ltd on behalf of European control Association.
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