In this study, the optimum design for an induction motor (IM) was realized by providing details of its geometric design. The IM optimization was carried out using the Artificial Ecosystem-based Optimization (AEO) algorithm, a metaheuristic method. The AEO algorithm was used for the first time in IM optimization, and the design parameters were optimized. Ten motor design parameters were used as design variables. IM efficiency was improved, as the objective function. The genetic algorithm (GA) optimization method was used for comparison with the results obtained with the AEO method. The optimized and unoptimized results of the IM design generated with codes created in the Matlab program were verified with the Ansys RMxprt EM Suite 19.2 program, and it could be seen that the results are in good agreement. As a result of these studies, it was observed that the use of AEO in determining the geometric parameters of the IM had better convergence accuracy and reached the optimum result in a shorter time compared to the GA optimization method. It was observed that IM efficiency increased from 90.34% to 91.575% on average with the AEO method.

Microcontrollers are inside all areas of industry today. They are being used in many electronic circuit designs, ranging from very simple systems to highly complex systems. For that reason, microcontrollers have a great importance in the electronics sector. Microcontrollers are especially important in terms of students enrolled in engineering departments in the fields of computers, electrical engineering, electronics, and mechatronics. Experimental sets and simulation programs are used in the learning and teaching of microcontrollers in real-world simulations. In this study, a 16F877 microcontroller training set, designed for use in microcontroller courses, was used. The designed training kit allows experimentation with the 16F877 microcontroller circuits as a subprogram of the Proteus program of Lab center Electronics, which is electronic circuit drawing in Proteus ISIS (Intelligent Schematic Input System) simulation software tested in a real environment. The microcontroller basic hardware connections and the application circuits on the training kit were implemented as modules similar to the ISIS program drawings. Transition from the simulation environment to the real-life environment can be done easily by using these modules, and the information learned in this way becomes concrete.

In this study, the performance analysis of a 5.5 kW, 460 V, 60 Hz, 4-pole, and 3-phase squirrel- cage induction motor (IM) has been carried out by developing a portable electronic circuit, design, and the software, independent of any commercial software. The mathematical equations used in the design steps and the preliminary design of the main dimensions of the squirrel cage IM are realized with a developed electronic circuit. To perform preliminary design calculations Nextion 7-inch touch screen, Arduino mega 2560 microcontroller is used in electronic circuit design. Briefly, IM basic data are entered from the Nextion 7 inches touch screen in the electronic circuit created and the data are sent to the Arduino Mega 2560 microcontroller card via serial communication. On the Arduino Mega 2560 microcontroller board, IM mathematical calculations are accomplished, and the calculation results are presented on the Nextion screen. It has been observed that the analytical calculations and the calculation results in the developed calculation tool have been obtained in good agreement.