Abstract
The domain of Flexible Robotic Systems (FRS) is one of the unique ensembles of robotics research that deals with various modes of vibrations, inherent in the system. The vibration, so referred, is completely built-in type and thus it is designed invariant. By nature, the vibration in FRS is self-propagating and does not follow analytical modeling and rule-base in all applications. The asynchronous data fusion, emanating out of FRS is a challenging research paradigm till date, primarily due to the inherent characteristics in quantifying the output response of the system. Real-time assessment of vibration signature in FRS is a prerequisite for establishing a reliable control system for any real-life application. The paper focuses on a new approach of modeling this inherent vibration of the flexible robotic system and brings out its effect on the associated dynamics of the FRS. Besides, the paper dwells on modeling and theoretical analysis for a novel rheological rule-base, centering on the zone-based relative dependency of the finite numbered sensor units in combating the inherent vibration in the flexible robot. Besides, a new proposition is developed for assessing the decision threshold band, signaling the activation of the FRS-gripper, using a stochastic model.
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References
Benosman M, Vey G (2004) Control of flexible manipulators: a survey. Robotica 22(2004):533–545
Fraser AR, Daniel RW (1991) Perturbation techniques for flexible manipulators. Norwell, MA, Kluwer
Luo ZH (1993) Direct strain feedback control of a flexible robot arm: new theoretical & experimental results. IEEE Trans Autom Control 38(11):1610–1622
Chen Wen (2001) Dynamic modeling of multi-link flexible robotic manipulators. Comput Struct 79(2):183–195
Feliu V, Somolinos JA, Garcia A (2003) Inverse dynamics based control system for a three degrees-of-freedom flexible arms. IEEE Trans Robot Autom 19(6):1007–1014
Feliu V, Ramos F (2005) Strain gauge based control of single-link flexible very light weight robots robust to payload changes. Mechatronics 15:547–571
Subudhi B, Morris AS (2002) Dynamic modeling, simulation and control of a manipulator with flexible links and joints. Robot Auton Syst 41(4):257–270
Moudgal VG, Kwong WA, Passino KM, Yurkovich S (1995) Fuzzy learning control for a flexible-link robot. IEEE Trans Fuzzy Syst 3(2):199–210
Singer NC, Seering WC (1990) Preshaping command inputs to reduce system vibration. J Dyn Syst Meas Control Trans ASME 112:76–82
Chen YP, Hsu HT (2001) Regulation and vibration control of an fem-based single-link flexible arm using sliding-mode theory. J Vib Control 7(5):741–752
Tjahyadi H, Sammut K (2006) Multi-mode vibration control of a flexible cantilever beam using adaptive resonant control. Smart Mater Struct 15:270–278
Trapero-Arenas JR, Mboup M, Pereira-Gonalez E, Feliu V (2008) Online frequency and damping estimation in a single-link flexible manipulator based on algebraic identification. In: Proceedings of the 16th mediterranean conference on control and automation (IEEE). Franco, pp 338–343
Pereirea Emiliano, Aphale Summet Sunil, Feliu Vicente, Moheimani SOR (2011) Integral resonant control for vibration damping and precise tip-positioning of a single-link flexible manipulator. IEEE/ASME Trans Mechatron 16(2):232–240
Zhang J, Tian Y, Zhang M (2014) Dynamic model and simulation of flexible manipulator based on spring and rigid bodies. In: Proceedings of the 2014 IEEE international conference on robotics and biomimetics (‘ROBIO-2014’), pp 2460–2464
Chair Z, Varshney PK (1986) Optimal data fusion in multiple sensor detection systems. IEEE Trans Aerosp Electron Syst AES-22(1):98–101
Thomopoulos SCA, Viswanathan R, Bougoulias DC (1987) Optimal decision fusion in multiple sensor systems. IEEE Trans Aerosp Electron Syst AES-23(5):644–653
Kam M, Chang W, Zhu Q (1991) Hardware complexity of binary distributed detection systems with isolated local bayesian detection. IEEE Trans Syst Man Cybern SMC-21(3):565–571
El-Ayadi MH (2002) Nonstochastic Adaptive Decision Fusion in Distributed-Detection Systems. IEEE Trans Aerosp Electron Syst 38(4):1158–1171
Roy Debanik (2007) Estimation of grip force and slip behavior during robotic grasp using data fusion and hypothesis testing: case study with a matrix sensor. J Intell Robot Syst 50(1):41–71
Roy D (2008) Stochastic model-based grasp synthesis: new logistics for data fusion with dissimilar sensor-cells. In: Proceedings of the IEEE international conference on automation and logistics (IEEE-ICAL 2008). Qingdao, China, pp 256–261
Roy D (2009) A new fusion rule-base for slender tactile cells in a homogeneous robotic slip sensory grid. In: Proceedings of the IEEE international conference on robotics and biomimetics (IEEE-ROBIO 2008). Bangkok, Thailand
Roy D (2009) A new fusion rule with dynamic decision threshold for heterogeneous field gripper sensory system: Part I. In: IEEE/RSJ international conference on intelligent robots and systems (IROS 2009). USA
Roy D (2009) A new fusion rule with dynamic decision threshold for heterogeneous field gripper sensory system: Part II. In: Proceedings of the IEEE international conference on automation and logistics (IEEE ICAL 2009). China
Acknowledgements
Author acknowledges the help rendered by Shri Stianshu Das, B.Tech. student of Indian Institute of Technology, Kharagpur in performing Finite Element Analysis of the FRS structures as part of his internship project. The technical assistance provided by the engineers of M/s Devendra Fabricators, Nashik, Maharashtra and M/s SVR Infotech, Pune, Maharashtra is duly acknowledged pertaining to the fabrication of the serial-chain flexible robotic systems.
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Roy, D. (2020). Control of Inherent Vibration of Flexible Robotic Systems and Associated Dynamics. In: Chakraverty, S., Biswas, P. (eds) Recent Trends in Wave Mechanics and Vibrations. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-0287-3_16
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DOI: https://doi.org/10.1007/978-981-15-0287-3_16
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