Arunima Sagar , Rahul Radhakrishnan , G. Lloyds Raja
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Cascade plus Feedforward Control Strategy for Enhanced Regulation in Maglev System
The magnetic levitation (Maglev) is a highly nonlinear and unstable system. Hence, it requires advanced and effective control mechanism. In this work, a cascaded and feedforward control strategy is designed for Maglev. Internal model control (IMC)-based proportional-integral (PI) and proportional-integral-derivative (PID) controllers are designed for the inner and outer loops. The feedforward controller is designed as a proportional controller which is decided based on the desired equilibrium point. Guidelines for selecting the adjustable IMC parameters for inner and outer loops are provided. Experimentally obtained closed-loop responses of the Maglev setup are compared using three different control strategies: proposed cascaded with feedforward, feedback with feedforward and pure feedback. It is vindicated that the proposed cascaded with feedforward strategy outperforms the other two strategies in terms of quantitative error metric, integral square error (ISE) and tracking the desired setpoint (ball position).
期刊介绍:
All papers from IFAC meetings are published, in partnership with Elsevier, the IFAC Publisher, in theIFAC-PapersOnLine proceedings series hosted at the ScienceDirect web service. This series includes papers previously published in the IFAC website.The main features of the IFAC-PapersOnLine series are: -Online archive including papers from IFAC Symposia, Congresses, Conferences, and most Workshops. -All papers accepted at the meeting are published in PDF format - searchable and citable. -All papers published on the web site can be cited using the IFAC PapersOnLine ISSN and the individual paper DOI (Digital Object Identifier). The site is Open Access in nature - no charge is made to individuals for reading or downloading. Copyright of all papers belongs to IFAC and must be referenced if derivative journal papers are produced from the conference papers. All papers published in IFAC-PapersOnLine have undergone a peer review selection process according to the IFAC rules.