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Based on the arc mathematical model for the SF6 circuit breaker (CB), the equations describing the arc chaotic behavior were deduced by considering the velocity and temperature effect in the model as the chaotic characteristics and expending in 2D form using the convergence of Fourier series. The time series, and Lyapunov exponents diagram reflecting the chaotic behavior of arc were obtained based...
For studying the effect of the pressure on the breaking performance during the cold gas interruption of a SF6 circuit breaker (CB), 1D compressive gas flow field mathematical model was deduced by replacing the mass equation with the pressure equation based on the mathematic transformation. And the distribution of Mach number in gas flow field under different opening strokes were simulated using finite...
Based on the N-S and Maxwell equation, a mathematical model describing the arc behavior in SF6 circuit breaker (CB) has been deduced. The effect of Lorentz force, turbulent and physical parameters on the characteristic of arc plasma was considered in the model. Using the finite volume method, the distributions of controlling parameters for arc in SF6 circuit breaker, such as viscosity, electric conductivity,...
The chaos characteristic of vacuum circuit breaker (VCB) under different interruption conditions in synthetic circuit experiment is researched. Using four parameter and two parameter method, comparing the influence of the metal vapor arc model, the variations of voltage and current for different VCBs are obtained. And the chaos in synthetic circuit experiment for the demonstrated VCBs based on the...
Based on the numerical computation of 2D compressible, viscous and turbulent gas flow physical-mathematical model for a extra high voltage SF6 circuit breaker (EHV SF6 CB), the aerodynamic behavior and pressure characteristics under no load interrupting have been obtained using the improved combination method of FVM and TVD scheme. And the pressure time series of different points, the phase space...
The sign of unknown input coefficients is assumed to be known in most papers about the input uncertainties. In this paper, a Nussbaum gain method is adopted to cope with the situation that both the sign and the value of input are unknown. And the unknown parameters can be estimated under the situation of unknown sign of control. At last, numerical simulations are done to show the effectiveness of...
A novel particle swarm optimization (PSO) based on chaos searching has been proposed and introduced to optimize the electrical apparatus. The improved PSO algorithm has both advantage of simplify for implement of original particle swarm optimization and advantage of fast convergence, easy to escape local minima for chaos optimization algorithm. The validity and feasibility of improved PSO algorithm...
To verify whether sea clutter has chaotic character or not, the minimum embedding dimension and time delay in phase space reconstruction are needed. This paper discusses two defects of false nearest neighbors (FNN) for calculating embedding dimension: noise sensitivity and effect of subjective parameter. It was confirmed that Cao method could overcome these limitations and settle on a suitable embedding...
The chaotic neural network (CNN), the combination of the chaotic and the artificial neural network (ANN), is presented and applied to optimize the vacuum interrupter. Moreover, the unique dynamic characteristic of the CNN has been successfully utilized for solving the multivariable optimization. And the feasibility and the validity for the global optimization are verified by the demonstrated examples
The chaotic mechanism has been introduced to optimize the electric apparatus in this paper. By combining the chaotic mechanism and artificial neural network (ANN), the chaotic Hopfield neural network (CHNN) has been established, and applied to solve the optimum problem of the demonstrated examples. From the simulation results, it can be found that the proposed CHNN can be employed to solve the optimization...
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