Using a proportional integral derivative (PID) system to control the quadrotor drone to ensure its reliability and robustness | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Using a proportional integral derivative (PID) system to control the quadrotor drone to ensure its reliability and robustness Parsa Yeganeh Khorasani This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6448814/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study implemented a proportional-integral-derivative (PID) system for controlling a quadrotor UAV to ensure reliability and robustness. The research aimed to stabilize quadrotor movements using a PID system, with simulations conducted in MATLAB/Simulink to verify its effectiveness. The method involved designing the desired path and adjusting the PID system in stages to minimize the error between the desired and actual states. The results showed that the PID controller-maintained stability and control across various conditions, including wind disturbances. However, this study also highlighted limitations, such as the PID controller's higher accuracy in linear systems compared to nonlinear ones and the challenges in correctly tuning control parameters. While the designed PID controller worked well with the quadrotor’s nonlinear dynamics, more advanced control methods may be needed for handling larger changes and nonlinearities. This research underscores the practical significance of UAV applications in critical areas requiring stability and precision, such as search and rescue operations, aerial surveillance, and delivery systems. Proportional integral derivative system quadrotor quadrotor drone quadrotor movements Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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