This paper proposes a Takagi Sugeno (TS) fuzzy field observer in a rotor-flux-oriented reference frame. The proposed approach dealt with the conventional Direct Rotor Field Oriented control (DRFOC) in a high speed app...
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This paper proposes a Takagi Sugeno (TS) fuzzy field observer in a rotor-flux-oriented reference frame. The proposed approach dealt with the conventional Direct Rotor Field Oriented control (DRFOC) in a high speed application. The main aims are to provide new methods to observe the flux in same reference frame as the controller. In the initial development, we propose a TS model for the induction machine. Later, a TS fuzzy full order observer is described. Then a stability and a D-stability analysis are presented to proof in the first time, the stability and to garret in the second time, some dynamic behaviour for the observer through the Lyapunov theory. The proposed results are based on LMIs terms (Linear Matrix Inequalities) which can be solved easily using Matlab tools. A numerical example is provided to show the effectiveness of the proposed results.
One-Sided Lipschitz (OSL) fractional order modeling is a top choice for solving the stabilization issue of nonlinear systems. Despite numerous studies on the subject, there remains a gap in understanding when it comes...
One-Sided Lipschitz (OSL) fractional order modeling is a top choice for solving the stabilization issue of nonlinear systems. Despite numerous studies on the subject, there remains a gap in understanding when it comes to fractional calculus. By providing a stabilizing strategy for a certain type of OSL fractional order nonlinear systems, this study fills the gap. A numerical example demonstrating the correctness of the suggested approach and demonstrating its efficacy for the tested class.
This review paper discusses the most used observation techniques applied to the electrical machines, namely the direct estimation technique and estimation model based on a mathematical technique. Without a deep invest...
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ISBN:
(纸本)9781665482622
This review paper discusses the most used observation techniques applied to the electrical machines, namely the direct estimation technique and estimation model based on a mathematical technique. Without a deep investigation, this paper allow readers to take a general overview of the observer techniques utilized to control the electrical machines.
A fuzzy c-regression model clustering algorithm based on Bias-Eliminated Least Squares method (BELS) is presented. This method is designed to develop an identification procedure for noisy nonlinear systems. The BELS m...
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ISBN:
(纸本)9781467363020
A fuzzy c-regression model clustering algorithm based on Bias-Eliminated Least Squares method (BELS) is presented. This method is designed to develop an identification procedure for noisy nonlinear systems. The BELS method is used to identify consequent parameters and eliminate the bias. The proposed approach has been applied to benchmark modeling problem which proved a good performance.
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.
With the increasing need for sustainable energy sources, wind power has gained prominence as a clean and renewable option. Nevertheless, incorporating wind power into the electrical grid at a significant scale can hav...
With the increasing need for sustainable energy sources, wind power has gained prominence as a clean and renewable option. Nevertheless, incorporating wind power into the electrical grid at a significant scale can have a considerable impact on the dynamic behavior of the power system, leading to heightened operational uncertainties. The expanding requirement for power network connection to wind farms has led to the occurrence of rotor angle fluctuations and frequency instability. This paper utilizes a Static Synchronous Compensator (STATCOM) along with a multi-band power system stabilizer (MB-PSS) to assess the transient stability of a power grid. To demonstrate the system's efficiency under fault conditions, such as triple line-to-ground faults (LLLG), a nine-bus, three-machine test network incorporating a Doubly Fed Induction Generator (DFIG) has been employed. The system's performance has been evaluated through MATLAB/Simulink simulations, which reveal that the combination of STATCOM with MB-PSS produces superior results in enhancing transient stability when compared to the scenarios of using STATCOM alone or not using it at all.
This paper focuses on the synthesis of adaptive fuzzy fault tolerant controller which combines a sliding mode controller and a Proportional Integral controller (PI) for a class of MIMO underactuated nonlinear systems ...
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ISBN:
(纸本)9781509039616
This paper focuses on the synthesis of adaptive fuzzy fault tolerant controller which combines a sliding mode controller and a Proportional Integral controller (PI) for a class of MIMO underactuated nonlinear systems with external disturbances. The proposed control law treats the underactuated systems on their original non square form without squaring them by adding or eliminating variables. The uncertain system functions are predicted by fuzzy logic systems and free parameters can be updated on-line by adaptive laws based on Lyapunov theory. The overall adaptive fuzzy sliding mode scheme guarantees the global stability of the resulting closed-loop system as well as the convergence of the reference tracking error vector. The validity of the proposed approach is shown by computer simulations.
This paper is concerned with the design of polynomial observers for positive polynomial interval systems. In order to design the polynomial observer a solution based on Sum Of Squares (SOS) programming is provided. Th...
This paper is concerned with the design of polynomial observers for positive polynomial interval systems. In order to design the polynomial observer a solution based on Sum Of Squares (SOS) programming is provided. The design conditions are presented in terms of SOS, which can be numerically and symbolically solved via SOSTOOLS and a Semi-Definite Program (SDP) solver. Finally, numerical examples are given to show the feasibility of the proposed approaches.
This paper presents the static output feedback control synthesis problem for a class of positive polynomial fuzzy systems with time delay using a sum of squares (SOS) approach. To study the considered analysis and des...
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ISBN:
(纸本)9781665407830
This paper presents the static output feedback control synthesis problem for a class of positive polynomial fuzzy systems with time delay using a sum of squares (SOS) approach. To study the considered analysis and design problems, the polynomial Lyapunov-Krasovskii function is proposed. Based on The sum of squares technique, the polynomial conditions can be directly solved. Finally, a simulation example is given to testify the validity of the analysis result.
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