The generation of electrical energy varies depending on the needs of the user, initial requirements, capacity, intended use, waste generation, and economic efficiency. In order to meet the challenges of the proposed overvoltage of the presented system, it is possible to use the solar collectors and profit from them economically through smart grid smart control systems. The mathematical model with four main parts was created: simulation, correlation, and evaluation according to the solar program set of photovoltaic solar modules, maximum power point tracking (MPPT), an adaptive neuro-fuzzy inference system (ANFIS) controller, and 600-volt electric network. Then in this phase, the investigation of the effects on the network on the basis of the output power with the coincidence of radiation and the effect of temperature in the network is carried out. An analysis was carried out to evaluate the impact of these fundamental limitations in practical application. In this section, the simulation of the proposed system is discussed. The block diagram of the developed system is presented in the last part. The proposed system was assessed from the Matlab simulation tapes and graphs for each part of the system, and the results of the overall system simulation were taken into account.

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The constant innovative advancements of brushless DC motors (BLDCMs) have discovered a wide scope of utilizations. For instance, underground electric vehicles, drones, and submerged bikes have just confirmed elite BLDCMs. Be that as it may, their appropriation requires control frameworks to screen torque, speed and other execution attributes. This paper presents numerous brilliant controllers structure and order line programming to assemble, alter and mimic intelligent to control BLDCMs. Recently planned graphical user interface (GUI) structure for Multi controllers: conventional proportional integral derivative (PID) controller, intelligent controller based fuzzy techniques: type 1, type 2, and modified type 2 fuzzy logic controller (T1FLC, IT2FLC, and MIT2FLC respectively). Different phases of the problematic framework configuration process, from the underlying depiction to the last usage, can be acquired from the altered tool compartment. MATLAB Ver.2019b was utilized to mimic and plan all procedure GUI. The agreeable aftereffects of MIT2FLC have been approved also; the examination gives the subtleties of the GUI program through estimations, shapes, flowcharts and code, giving understanding into the presumptions of common-sense boundaries that may emerge in such a minimal effort mentor for BLDCM. At last, the outcomes acquired through a few reproduction tests affirm the legitimacy of the showed math model and designing of intelligent controllers.

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The interaction between humans and robots provides several important elements in improving the productivity of the tool in mechanical technology because the development of many complex tasks takes place through the application of multi-use robots technology that is self-adapted in these processes in various industrial or medical applications, which greatly contributed to the development of human life and achieving ways well-off Existing automated control frameworks have shaken up the construction business, making them highly adaptable and easy to use. This paper examines current and upcoming types of control frameworks and their implementation in mechanical technology, and the function of artificial intelligence in applying autonomy. In addition, he is expected to reveal insights into the various issues around control frameworks and the different approaches to fixing them. In addition, it proposes the basics of the application of autonomous control frameworks and various types of control frameworks in mechanical technology. Each type of control framework has its pros and cons which are discussed in this paper. Another type of robot control framework that upgrades the difficulty of the quest stage is man-made brainpower. Part of the speculations used in man-made reasoning, for example, artificial intelligence (AI) such as fuzzy logic, neural network, and genetic algorithm, are shown in this paper. Finally, a part of the joint effort between mechanical autonomy, personnel, and innovation is indicated. Coordinated human effort, for example, kinematic signal recognition used in games and versatile upper arm-based robots used in the clinical field for individuals with disabilities. Later on, it is only natural that the importance of different sensors is built up, thus expanding the knowledge and activity of the robot into a modern field. The data in this paper was collected based on many international references in publishing houses such as Springer, Elsevier, MDPI, IEEE, and others.