Dynamic Performance of the PID Controller with Flower Pollination Algorithm for Magnetorheological Suspension System

Dynamic Performance of the PID Controller with Flower Pollination Algorithm for Magnetorheological Suspension System | 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 Dynamic Performance of the PID Controller with Flower Pollination Algorithm for Magnetorheological Suspension System Mat Hussin Ab Talib, Muhammad Khalis Noor Hisham, Hanim Mohd Yatim, and 5 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7405874/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 The investigation into Magnetorheological (MR) damper control for semi-active systems has attracted interest in enhancing vehicle ride comfort and stability. Previous researchers have explored various control methods for semi-active MR dampers. Still, the findings show that the designed control schemes are very limited in providing good performance and may lead to unpredictable optimal force targets. Consequently, this study explores the effectiveness of an intelligent optimization technique known as the flower pollination algorithm (FPA) in determining the parameters for a proportional-integral-derivative (PID) controller for semi-active suspension systems. The study assesses the performance of the PID controller with FPA tuning. It compares it to traditional and intelligent optimization methods, including a non-PID heuristic approach and particle swarm optimization (PSO). To conduct these assessments, a MATLAB simulation environment was employed to create a comprehensive model of the semi-active suspension system, complete with all control components. The results of the study demonstrate a significant improvement, with the proposed PID-FPA controller reducing the amplitude of body acceleration and displacement responses by up to 70.4 % and 84.5 %, respectively, when compared to PID-HEURISTIC, PID-PSO, and passive systems. The FPA optimization integrated with the PID controller should be considered to achieve the optimum target in the MR damper control strategy for the suspension system. Suspension system magnetorheological damper metaheuristic algorithm PID controller flower pollination algorithm 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. 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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-7405874","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":508837987,"identity":"d6e447db-2194-4243-9473-9025bb81f5d3","order_by":0,"name":"Mat Hussin Ab 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Previous researchers have explored various control methods for semi-active MR dampers. Still, the findings show that the designed control schemes are very limited in providing good performance and may lead to unpredictable optimal force targets. Consequently, this study explores the effectiveness of an intelligent optimization technique known as the flower pollination algorithm (FPA) in determining the parameters for a proportional-integral-derivative (PID) controller for semi-active suspension systems. The study assesses the performance of the PID controller with FPA tuning. It compares it to traditional and intelligent optimization methods, including a non-PID heuristic approach and particle swarm optimization (PSO). To conduct these assessments, a MATLAB simulation environment was employed to create a comprehensive model of the semi-active suspension system, complete with all control components. The results of the study demonstrate a significant improvement, with the proposed PID-FPA controller reducing the amplitude of body acceleration and displacement responses by up to 70.4 % and 84.5 %, respectively, when compared to PID-HEURISTIC, PID-PSO, and passive systems. 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