Comparison between controllers based brain emotional learning and PID controller in quadrotor takeoff and landing control
سال انتشار: 1402
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 118
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شناسه ملی سند علمی:
SETIET04_035
تاریخ نمایه سازی: 25 مرداد 1402
چکیده مقاله:
For the first time in this paper, Brain Emotional Learning Based Intelligent Controller (BELBIC) is applied to attitude control of a Quadrotor. BELBIC controller is designed based on the computational model of emotional learning process in mammalian brain limbic system. Proposed control algorithm is employed because of the learning ability and independency to system model and also satisfactory performances dealing with disturbances and changing in system parameters. Quadrotor is an Unmanned Aerial Vehicle (UAV) which has the capability of Vertical Take-Off and Landing (VTOL). Simulation results of controlling Quadrotor with BELBIC are addressed. Also pitch angle disturbance is applied due to examine system performances.
کلیدواژه ها:
نویسندگان
Saeid Piri
Research Center for Computational Cognitive Neuroscience, System & Cybernetic Laboratory, Imam Reza International University, Mashhad, Iran
Arefeh dinarvand
UAST-University of Applied Science and Technology X-IBM Institute, Tehran, Iran,
Kazem Sohrabi
Bachelor of Aerospace Engineering majoring in air structures, Shahid Sattari Aeronautical University, Tehran, Iran