Metaheuristic Methodologies reinforce Fuzzy Controller for a Tricopter

The hybrid metaheuristic optimization algorithm methodologies, which are functional and powerful application utilities, have developed and achieved many satisfactory results, recently. Decision and control are responsible for ensuring that achieved properly system performances. In our society, the safe, reliable, and efficient control of these systems are vital. Thus, automatic decision and control systems are ubiquitous in human engineered systems and have an enormous impact on our lives. As modern systems become more and more complex: aircraft, automobiles, manufacturing systems, and industrial processes,etc. Hence, the performance requirements more stringent, decision and control improvements are required that deliver guaranteed performance also the satisfaction of prescribed goals. This article built up the elite algorithms and applied it to control a Tricopter as the UAV model.

Autorentext

Tran, Huu Khoa is a current Lecturer of Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Vietnam. He has a Ph.D. in Mechatronics from Southern Taiwan University of Science and Technology, Taiwan in 2015. His research focuses on Fuzzy Control, Robotic, Metaheuristic Optimization and Computer Vision.