Design and implementation of Hybrid TSA PID controller for an Electro Pneumatic systems

Design and implementation of Hybrid TSA PID controller for an Electro Pneumatic systems | 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 Article Design and implementation of Hybrid TSA PID controller for an Electro Pneumatic systems B Deepalakshmi, S Sathiyavathi, S Sathishbabu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7721341/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 Electro ‑ Pneumatic Position Control Systems (EPPCSs) are likewise nonlinear and subject to significant uncertainty because of air compressibility, supply pressure fluctuations, temperature changes, friction and internal leakage. These factors make conventional PID tuning is challenging and often inadequate across all operating ranges. This leads to the development of a hybrid optimization approach that combines Tree-Seed Algorithm (TSA) and Genetic Algorithm (GA) to determine the optimal PID controller parameters for a smart electro-pneumatic positioner. In Hybrid TSA GA approach: TSA contributes an efficient local search through its biologically inspired seed dispersal mechanism, while GA enhances global exploration using selection, crossover and mutation operations. This algorithm synergistically integrates the strengths of both methods to achieve a more robust and globally optimal solution for PID gain tuning. The optimized controller is designed to drive the smart electro pneumatic positioner, thereby regulating airflow to the cylinder and precisely controlling piston displacement. The objective of this optimization is to improve performance criteria over conventional and TSA PID controller. The results underscore the effectiveness of the proposed system for high precision real time Electro ‑ pneumatic systems. Physical sciences/Energy science and technology Physical sciences/Engineering Position control Electro pneumatic positioner nonlinear systems Tree Seed Algorithm Hybrid TSA PID controller 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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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7721341","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":532380994,"identity":"3e85828b-e297-4711-a65e-5a4815aae3d4","order_by":0,"name":"B 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