Amirkabir University of Technology Amirkabir Journal of Mechanical Engineering 2008-6032 56 7 2024 09 22 Coordinated Control of Multiple Agents for Automatic Landing and Execution of Formation Flights using Fuzzy Control Allocation Approach Coordinated Control of Multiple Agents for Automatic Landing and Execution of Formation Flights using Fuzzy Control Allocation Approach 983 1002 5600 10.22060/mej.2024.23297.7739 FA Saba Nikseresht K. N. Toosi University of Technology Mahdi Jafari Nadoushan Department of Space Engineering, Faculty of Aerospace Engineering, K. N. Toosi University of Technology. 0000-0001-8493-8175 Journal Article 2024 06 23 <span style="letter-spacing: .05pt;">In many next-generation platforms, the application of control allocation approaches is one of the most effective methods for performing coordinated aerial maneuvers. This approach minimizes the energy required for various operations, compensates for actuator faults, enhances reliability and dependability, and prevents actuator saturation. This paper addresses the coordinated control of multiple agents for autonomous landing and coordinated maneuvers using a fuzzy control allocation approach. In this framework, one of the platforms assumes the role of a leader agent, while the other two operate as follower agents. By employing a fuzzy controller, optimizing its parameters with a genetic algorithm, and allocating control signals among lift actuators and the thrust vector control system, agents can be guided with desired stability, sufficient accuracy, and minimal control effort to a specific altitude, followed by executing well-organized and synchronized maneuvers. The results demonstrate that the fuzzy control allocation method achieves high precision in controlling the landing of platforms to a designated altitude. Ultimately, the platforms execute coordinated autonomous landing maneuvers with favorable conditions, sufficient stability, high accuracy, relatively short execution time, and minimal control effort.</span> <span style="letter-spacing: .05pt;">In many next-generation platforms, the application of control allocation approaches is one of the most effective methods for performing coordinated aerial maneuvers. This approach minimizes the energy required for various operations, compensates for actuator faults, enhances reliability and dependability, and prevents actuator saturation. This paper addresses the coordinated control of multiple agents for autonomous landing and coordinated maneuvers using a fuzzy control allocation approach. In this framework, one of the platforms assumes the role of a leader agent, while the other two operate as follower agents. By employing a fuzzy controller, optimizing its parameters with a genetic algorithm, and allocating control signals among lift actuators and the thrust vector control system, agents can be guided with desired stability, sufficient accuracy, and minimal control effort to a specific altitude, followed by executing well-organized and synchronized maneuvers. The results demonstrate that the fuzzy control allocation method achieves high precision in controlling the landing of platforms to a designated altitude. Ultimately, the platforms execute coordinated autonomous landing maneuvers with favorable conditions, sufficient stability, high accuracy, relatively short execution time, and minimal control effort.</span> https://mej.aut.ac.ir/article_5600_7ea4e7fcdc6aff2777bd594a3754e02a.pdf