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RISS 인기검색어
- 검색키워드
- 저자 : Ahmad Fakharian (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
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HYBRID OBJECT DETECTION USING IMPROVED GAUSSIAN MIXTURE MODEL
Ahmad Fakharian,Saman Hosseini,Thomas Gustafsson 제어로봇시스템학회 2011 제어로봇시스템학회 국제학술대회 논문집 Vol.2011 No.10
In this paper, we propose a novel approach to detect moving objects in a complex background. The Gaussian mixture model (GMM) is an effective way to extract moving objects from a video sequence. However, the conventional mixture Gaussian method suffers from false motion detection in complex backgrounds and slow convergence. This work, in order to achieve robust and accurate extraction of the shapes of moving objects, applies a hybrid method to remove noise from images. The proposed model consists of two stages. The first stage consists of a fourth order PDE and the second stage is a relaxed median Experimental results show that the proposed model performs well even in the presence of higher levels of noise.
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Davood Allahverdy,Ahmad Fakharian,Mohammad Bagher Menhaj 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.6
In this study, back-stepping integral sliding mode control (BISMC) with iterative learning control (ILC) algorithm are presented for nonlinear translational and rotational dynamics of the Quadrotor UAVs. The proposed controller (BISMC) can track desired trajectories and (ILC) is responsible for inclining the accuracy and robustness of the control strategy. In order to prove the stability of the closed loop system, Lyapunov theorem is used. The simulation results indicate that the proposed control strategy has high accuracy, suitable robustness, disturbance rejection, good trajectory tracking and fast transient responses for the Quadrotor UAVs despite the uncertainties and external disturbances.
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Output Feedback Robust Siding Mode Controller Design for Wind Turbine
Azita Sharif Faskhodi,Ahmad Fakharian 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.6
In this paper, by choosing a nonlinear model of wind turbine, we want to control the output power of a wind turbine by measuring the rotor speed. For this purpose, the robust sliding mode controller is used to improve the response and the observer is used to estimate system states, which ultimately the proposed controller will be able to limit the power by limiting the rotor speed. In this control system, the rotor speed is considered as output of the system and also input of the controller, blades angle is considered as output of the controller. Here, we use observer state, output feedback and robust sliding mode controller to get the desired response at speed faster than nominal wind speed. First, using rotor speed, system states are estimated while wind is considered as an exogenous state. Then, robust Disturbance Accommodation Controller (DAC) based on sliding mode (SM) is developed. Finally, the efciency of the proposed DAC-SM approach is compared with existing Disturbance Accommodation Controller (DAC) method. At the end, after obtaining the data and analyze them, the simulation results verify the merits of the proposed controller.
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Mohamad Dosaranian-Moghadam,Payam Qaderi-Baban,Mohamad-Bagher Menhaj,Ahmad Fakharian 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.1
In a re-structured environment, demand response (DR) programs are presented in a new style. The demand response program consists of demand-side management methods which answers to electricity price variations. With advent of electricity markets, the demand-side management programs was introduced into two categories: (1) energy effi ciency program, (2) demand response program. This paper studies engagement of participants load in an electricity market having a grid with large and small loads interested to participate in the market, energy storage systems, micro-grids, and distributed generations. In the proposed scheme, it is supposed to have an aggregator which sends demand-side preferences including load curtailment, load shifting, onsite generation, and energy storage systems along with proposed value and prices and all respective system constraints to the independent system operator (ISO). In fact, load aggregators submit aggregated DR off ers to the ISO in order to optimize fi nal decisions on aggregators’ DR contributions in wholesale market. The main goal of this paper is to solve the operation problem considering demand-side, system, and pollution and reliability constraints. Compared to other methods, the results indicate that the explicit modeling of customer DR would provide ISOs with more fl exible options for scheduling the available energy resources in day-ahead energy markets.
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