Multi-Objective TEO and GOA Optimization of PID Controllers Applied to an Altitude and Yaw Mission of Quadrotor UAV Swarm

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dc.contributor.authorHermouche, Bilel
dc.contributor.authorZennir, Youcef
dc.date.accessioned2026-07-23T11:14:36Z
dc.date.available2026-07-23T11:14:36Z
dc.date.issued2026-03-01
dc.description.abstractThis paper produces a distributed control system to be used for collaborative UAV quadrotor simultaneous hovering and yawing missions in a leader-follower architecture, PID control is used in the altitude controller and the yaw controller for each single quadrotor with well-tuned parameters provided by two multi-objective optimization algorithms MOTEO and MOGOA, in the simulation and discussion section we show that due to the well system performances the produced parameters by MOTEO-PID combination are chosen to be the gains of the altitude and yaw controllers of the distributed control system for the hovering and yawing mission using a leader-follower architecture.
dc.identifier.issn2543-3792
dc.identifier.urihttp://dspace.univ-skikda.dz:4000/handle/123456789/6155
dc.language.isoen
dc.publisherALGERIAN JOURNAL OF SIGNALS AND SYSTEMS (AJSS).Vol. 11, Issue 1.p 51/p 58
dc.titleMulti-Objective TEO and GOA Optimization of PID Controllers Applied to an Altitude and Yaw Mission of Quadrotor UAV Swarm
dc.typeArticle
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