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Engineering education can reach the desired level if practical laboratory works are given together with the theory. In electrical engineering education, if foundation costs are considered the electrical machine labs become very important. Due to the increasing number of students accessing the university educational structures, the cost of laboratories for didactical electric machine applications is going to be very high. In this study, virtual laboratory, which is found to have wide application field in recent years, is introduced. For this purpose, a virtual electrical machine lab for electrical engineering lab courses is developed. An example of application was presented for the control of synchronous motor and no-load and blocked rotor test of synchronous generator. Moreover, this study explores the learning effect related to different learning styles of web-based virtual lab that has developed in electric engineering students.

Engineering education requires theoretical backgrounds to be supported by practical experience. Traditional laboratory practices are the supplementary parts of an education program which provide students practical skills and prepare them for professional life. However, since the real experiments are not always possible to carry out due to the limitations in equipments, suitable places, and sometimes limited time, alternative teaching means are needed. In this study, virtual application of asynchronous machine in a constant reference frame is given by a practical and functional interface, which can be a supportive tool for electrical engineering education. Asynchronous motor is generally modeled assuming constant parameters and linear inductance in transient analysis. However, many motors are designed for running in saturation region. In this application, magnetic saturation effect is also considered. All controls and variables of virtual application can be observed and saved in real time. An educational approach is adopted here to develop a virtual lab which can be used as a tool for education and demonstrative purposes. ß

Recently, the metaheuristic optimization algorithms inspired by nature and different science branches have been powerful solution methods for unconstrained, constrained, and engineering problems. Various metaheuristic optimization algorithms have been proposed and they have been applied to problems in different fields. This paper proposes a novel optimization method based on a modified version of the Golden Sine Algorithm for solving unconstrained, constrained, and engineering problems. The basic idea behind the proposed modified Golden Sine Algorithm (GoldSA-II) depends on finding the optimum solution field in search space by using the decreasing pattern of the sine function and the golden ratio. The performance of the proposed GoldSA-II is evaluated using 19 unconstrained benchmark functions, five constrained optimization test problems, and five real engineering design problems. The results of the proposed GoldSA-II are compared with best-known optimization algorithms using some well-known criteria. The obtained results show that the GoldSA-II converges more accurately to the global solution in many benchmark functions.