Browsing by Author "Saleh M.H."

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A knowledge-based adaptive fuzzy controller for a two-area power system
(2013) Saleh M.H.; Moniem T.A.; Department of Communication and Electronic; Faculty of Engineering; MSA University; Cairo; Egypt
The present paper presents a novel methodology for designing an adaptive fuzzy controller for a dynamically interconnected electric power system. One controller with constant gains for different operating points may not be sufficient to guarantee satisfactory performance for Load frequency control. Therefore, the knowledge-based adaptive fuzzy controller is proposed ether to cope with the operating conditions or to remove any fixed mode. The adaptive fuzzy logic control utilizes the error and the change of error as fuzzy linguistic inputs to regulate the system performance. The proposed control scheme is applied to a two-area power system provided with both hydraulic and thermal turbines. � 2013-IOS Press and the authors. All rights reserved.
An optimal fuzzy logic system for a nonlinear dynamic system using a fuzzy basis function
(Academy and Industry Research Collaboration Center (AIRCC), 2016) Hussein S.K.; Saleh M.H.; Department of Communications and Electronics; October University for Modern Sciences and Arts; Giza; Egypt; Electrical Communication and Electronics Systems Engineering Department; Canadian International College-CIC; Egypt
The impetus for this paper is the development of Fuzzy Basis Function "FBF" that assigns in an optimal fashion, a function approximation for a nonlinear dynamic system. A fuzzy basis function is applied to find the best location of the characteristic points by specifying the set of fuzzy rules. The advantage of this technique is that, it may produce a simple and well-performing system because it selects the most significant fuzzy basis functions to minimize an objective function in the output error for the fuzzy rules. The fuzzy basis function is a linguistic fuzzy IF_THEN rule. It provides a combination of the numerical information and the linguistic information in the form input-output pairs and in the form of fuzzy rules. The proposed control scheme is applied to a magnetic ball suspension system. � 2016, Academy and Industry Research Collaboration Center (AIRCC).
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(2012) Moniem T.A.; Saleh M.H.; Department of Communication and Electronics; Faculty of Engineering; MSA University; Egypt
Intelligent control techniques consist of knowledge-based expert or fuzzy logic control. One obvious drawback in many such applications is that fuzzy logic memberships are implemented at the lowest level. In high-bandwidth processes, this form of fuzzy logic membership implementation would require high speed and accuracy in the presence of strong nonlinearities and dynamic coupling. This paper presents a novel methodology called the Opto-fuzzy method to design a fuzzy logic membership using an optical hardware component. The proposed scheme is applied to triangular-shaped and half trapezoidal-shaped membership functions. � 2012 Elsevier B.V. All rights reserved.