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This presentation discusses the advancements in low-speed position tracking using Integral Output Proportional Integral (IOPI) and First Order Plus Dead Time (FOPD) models. It highlights the static and dynamic friction models utilizing describing functions, along with a comparative analysis of Bode plots for both methods. The research conducted by Ying Luo under the guidance of YangQuan Chen at the Center for Self-Organizing Intelligent Systems, Utah State University, aims to improve performance in tracking applications via model-based approaches. The findings will be illustrated through experimental results.
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Fractional Order Ultra Low-Speed Position Servo: Improved Performance viaDescribing Function AnalysisCenter for Self-Organizing Intelligent Systems (CSOIS), Dep. Electrical and Computer Engineering, Utah State University, Logan, UT, USA.Speaker: Ying LuoAdvisor: YangQuan Chen2-20-2009
Introduction Low Speed Position Tracking using IOPI and FOPD Static / Dynamic Models of Friction and Describing Functions for Friction Models Bode Plots Comparison of IOPI and FOPD using DF Experiment Conclusion Outline 2
Introduction Low Speed Position Tracking using IOPI and FOPD Static / Dynamic Models of Friction and Describing Functions for Friction Models Bode Plots Comparison of IOPI and FOPD using DF Experiment Conclusion Outline 3
Introduction Low Speed Position Tracking using IOPI and FOPD Static / Dynamic Models of Friction and Describing Functions for Friction Models Bode Plots Comparison of IOPI and FOPD using DF Experiment Conclusion Outline 8
Introduction Low Speed Position Tracking using IOPI and FOPD Static / Dynamic Models of Friction and Describing Functions for Friction Models Bode Plots Comparison of IOPI and FOPD using DF Experiment Conclusion Outline 23
Introduction Low Speed Position Tracking using IOPI and FOPD Static / Dynamic Models of Friction and Describing Functions for Friction Models Bode Plots Comparison of IOPI and FOPD using DF Experiment Conclusion Outline 41
Experiment 46
Experiment 49
Introduction Low Speed Position Tracking using IOPI and FOPD Static / Dynamic Models of Friction and Describing Functions for Friction Models Bode Plots Comparison of IOPI and FOPD using DF Experiment Conclusion Outline 50