In this paper, the problem of sensor fault diagnosis of continuous-time descriptor linear systems is investigated by using a descriptor observer. An augmented descriptor observer is constructed to simultaneously estim...
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ISBN:
(纸本)9781467389549
In this paper, the problem of sensor fault diagnosis of continuous-time descriptor linear systems is investigated by using a descriptor observer. An augmented descriptor observer is constructed to simultaneously estimate state and sensor faults. The sensor fault is considered as an auxiliary state variable. The admissibility of the descriptor observer is investigated in term of Linear Matrix Inequalities (LMIs), so they are tractable using numerical computations. Finally, a numerical example and an application to a suspension model illustrate the ability of the proposed fault diagnosis approach.
The wind generation system treated in this paper is composed of a fixed pitch angle wind turbine followed by a Permanent Magnet Synchronous Generator (PMSG) and power electronic converters AC-DC-AC which are coupled t...
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ISBN:
(纸本)9781509006595
The wind generation system treated in this paper is composed of a fixed pitch angle wind turbine followed by a Permanent Magnet Synchronous Generator (PMSG) and power electronic converters AC-DC-AC which are coupled to a DC link. This work deals with the control of the inverter in order to ensure a constant DC link voltage. The control design is based on Takagi Sugeno fuzzy model. stability analysis of the problem is realized using Lyapunov theorem and H-infinity performance. In order to calculate the controller gains, the problem is treated by means of Linear Matrix Inequality (LMI). Simulation results are carried out using MATlab/SIMULINK to test the effectiveness of the proposed control algorithm.
A wind generation system consisting of a fixed pitch angle wind turbine, a Permanent Magnet Synchronous Generator (PMSG), power electronic converters and a load, is treated in this paper. This study deals with the pro...
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ISBN:
(纸本)9781467389549
A wind generation system consisting of a fixed pitch angle wind turbine, a Permanent Magnet Synchronous Generator (PMSG), power electronic converters and a load, is treated in this paper. This study deals with the problem of Maximum Power Point Tracking (MPPT) of the generated power based on Takagi Sugeno fuzzy model. The stability analysis is achieved by means of Lyapunov theory and H-infinity performance. The gains of the designed controller are calculated by solving Linear Matrix Inequality (LMI). In order to check the efficiency of the proposed control strategy, simulation results are carried out using MATlab/SIMULINK.
In nonlinear system identification, block-oriented models such as Wiener and Hammerstein models have the advantage that they are quite simple to understand and easy to use. This paper presents a structural estimation ...
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In nonlinear system identification, block-oriented models such as Wiener and Hammerstein models have the advantage that they are quite simple to understand and easy to use. This paper presents a structural estimation of the Wiener-Hammerstein model, which is a block-oriented model where a static nonlinear system is surrounded by two linear dynamics at its input and output. The first part concerns the estimation of the order that is made by the ratio method of determining (DR). The second part describes the problem of estimating the delay. In this sense, estimation method is proposed namely estimation algorithm RLSVT. The analytical results are validated by numerical simulation examples.
This paper deals with the problem of state estimation for perturbed output nonlinear systems. A multiple models approach is used to describe such class of systems. Then a structure of Lyapunov based sliding mode multi...
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ISBN:
(纸本)9781467392358
This paper deals with the problem of state estimation for perturbed output nonlinear systems. A multiple models approach is used to describe such class of systems. Then a structure of Lyapunov based sliding mode multiple observer is presented. The stability proof of the observer is ensured by a suitable choice of estimation gains which are solutions of a set Linear Matrix Inequalities(LMI). The simulation results for the denitrification application demonstrate the effectiveness of the developed estimator scheme.
Owing to the complexity of photovoltaic systems and their specific behavior, researchers are substantially prompted by the FPGA circuit for prototyping and testing photovoltaic system. In addition, to improve the effi...
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ISBN:
(纸本)9781467387101
Owing to the complexity of photovoltaic systems and their specific behavior, researchers are substantially prompted by the FPGA circuit for prototyping and testing photovoltaic system. In addition, to improve the efficiency of the photovoltaic system, Maximum Power Point Tracking (MPPT) is an essential technique that enables photovoltaic panel delivers its maximum output power. Fuzzy logic technique seems to be an efficient solution that ensures optimal operation of photovoltaic system. For this end, this work aim to implement a fuzzy logic MPPT technique on FPGA circuit to control a photovoltaic system. The system composed of photovoltaic panel, boost converter and the fuzzy logic controller using FPGA device to control boost converter switch is designed and implemented. Simulation results exhibit an efficient operation of FPGA based photovoltaic system.
In this paper,an analysis for ill conditioning problem in subspace identifcation method is *** subspace identifcation technique presents a satisfactory robustness in the parameter estimation of process model which per...
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In this paper,an analysis for ill conditioning problem in subspace identifcation method is *** subspace identifcation technique presents a satisfactory robustness in the parameter estimation of process model which performs *** a frst step,the main geometric and mathematical tools used in subspace identifcation are briefly *** the second step,the problem of analyzing ill-conditioning matrices in the subspace identifcation method is *** illustrate this situation,a simulation study of an example is introduced to show the ill-conditioning in subspace *** numerical subspace state space system identifcation(N4SID)and multivariable output error state space model identifcation(MOESP)are considered to study,the parameters estimation while using the induction motor model,in simulation(Matlab environment).Finally,we show the inadequacy of the oblique projection and validate the efectiveness of the orthogonal projection approach which is needed in ill-conditioning;a real application dealing with induction motor parameters estimation has been *** obtained results proved that the algorithm based on orthogonal projection MOESP,overcomes the situation of ill-conditioning in the Hankel s block,and thereby improving the estimation of parameters.
This paper treats with the issue of disturbances, noises, uncertainties and sensor faults estimation for uncertain nonlinear systems whose nonlinearity satisfies the Lipschitz condition. The general idea of this appro...
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ISBN:
(纸本)9781467392358
This paper treats with the issue of disturbances, noises, uncertainties and sensor faults estimation for uncertain nonlinear systems whose nonlinearity satisfies the Lipschitz condition. The general idea of this approach is to establish an augmented model by supposing the sensor faults as an auxiliary state. In order to ensure the robustness of the proposed observer and guaranteed the convergence conditions, we have used the Lyapunov theory and the H ∞ criterion. So as to illustrate the design approach a control system of satellite attitude is presented.
This paper characterizes the problem of implementing a simultaneous estimation of the stator resistance and the rotor speed of a sensorless indirect rotor flux oriented control (IRFOC) induction motor (IM) drive. For ...
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ISBN:
(纸本)9781467392358
This paper characterizes the problem of implementing a simultaneous estimation of the stator resistance and the rotor speed of a sensorless indirect rotor flux oriented control (IRFOC) induction motor (IM) drive. For this purpose, the Luenberger state observer (LSO) is taken as a rudimentary method to simultaneously estimate the rotor speed and the stator resistance. Likewise, we suggest an adaptation algorithm related to the Lyapunov stability hypothesis to estimate the stator resistance and the rotor speed. The latter utilizes the estimated and measured stator currents and the estimated rotor flux. Along these lines, the control method that we suggest is liable to achieve a good performance after reducing the computational complexity through the use of the analytical relation in order to determine the Luenberger observer (LO) gain matrix. Additionally, compared to the previous observers, our observer is characterized by its simplicity, robustness as well as its ability to be implemented online. This article implies also the use of a typical PI regulator with feed-forward reparation expressions in the synchronous frame. But to regulate the rotor speed, we use the IP controller because of its effectiveness. Actually, its validity and efficiency are verified by the simulation results.
Due to the increasing complexity of photovoltaic systems and problems linked to development and design, verification of the entire system operation is essential before real implementation. Besides, high requirements o...
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Due to the increasing complexity of photovoltaic systems and problems linked to development and design, verification of the entire system operation is essential before real implementation. Besides, high requirements of a real-time simulation and control circuit prototyping before application increases safeness, and can reduce time and costs of implementation. For this end, the purpose of this work is to achieve photovoltaic system development and its design verification through system simulation using FPGA device. The verification method used in this study is the “Hardware-In-the-Loop” (HIL) simulation method. It provides an effective platform for developing and testing real time embedded systems. In this paper, we design the power circuit and we develop the open-circuit voltage controller which tracks the maximum power point. Then, the HIL simulation process is performed for the photovoltaic system. The efficiency of the photovoltaic system is validated by the simulation results.
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