The Hybrid Excitation Flux Switching Generator (HEFSG) has gained significant popularity in recent times owing to its relatively simple remarkably efficient topology. To optimize the performance of the generator, recent advancements and emerging patterns in mathematical modeling and software simulation, along with the utilization of optimization techniques, have facilitated the development of a novel methodology […]
Linear permanent magnet synchronous motors are increasingly used in industrial application. Proper performance of these motors requires appropriate design and construction of them. This paper presents the suitable topology selection and optimal design of a linear permanent magnet synchronous motor for precise applications. For this, a comprehensive analysis is done on different topologies of this […]
Design of a robust controller via single objective constrained optimization using differential evolution (DE) is presented in this paper. A set robust feedback controller gain is optimized based on plant’s linear model having structured parametric uncertainty such that the closed-loop system would have the maximum stability radius. A wedge region is assigned as the optimization […]
In this paper, a novel protection coordination optimization algorithm is proposed. The purpose is to maximize the disperse generation penetration and, at the same time, to minimize the operating time of fuses. A novel optimization technique, the Imperialistic Competition Algorithm (ICA), is applied to solve the problem. The results of simulations confirm that the proposed […]
If determination of location and size of Distributed Generation (DG) are applied accurately, the DG’s ability will improve the network situation and reduce operation costs. In this paper, various market conditions are considered to maximize the benefit of DG’s presence and make a trade off among advantages of DG, network situation, and Distribution Company (DISCO) […]
Abstract:Nowadays, compared to the past, the growth of technology in suspension systems have led the magnetic bearings to a more powerful and economical design. Such bearings proved to have lots of benefits such as performance capability in high speeds and the ability to perform action without lubrication in different performances. That cause a decrease in […]
Meta-heuristic methods are global optimization algorithms which are widely used in the engineering issues, nowadays. In this paper, a new stochastic search for optimization is presented using variable variance Gaussian distribution sampling. The main idea in searching for algorithm is to regenerate new samples around each solution with a Guassian distribution. Numerical simulations have revealed […]
Image segmentation has been widely used in different applications of the image processing. It The main objective of image segmentation is to subdivide the input images to their main components. Generally, the main purpose of the segmentation is to simplify or change an image representation into something that is more meaningful and easier to analyze. […]
In this paper, the economic dispatch problem in combined AC-DC systems is studied based on the equivalent losses matrix of power flow. The proposed method is started by the calculation of the power flow for combined AC-DC system, then the calculation of the losses matrix. Afterwards, the economic dispatch problem is calculated by interior point […]
Electroencephalography (EEG) is a major clinical tool to diagnose, monitor and manage neurological disorders which is mostly affected by artifacts. Given the importance and the need for an automated method to remove artifacts, in this paper some intelligent automated methods are proposed which are composed of three main parts as extraction of effective input, filtering […]
