Multibody Mechatronic Systems: Proceedings of the MUSME by Marco Ceccarelli

By Marco Ceccarelli

This quantity includes the lawsuits of MUSME 2014, held at Huatulco in Oaxaca, Mexico, October 2014. issues comprise research and synthesis of mechanisms; dynamics of multibody structures; layout algorithms for mechatronic platforms; simulation techniques and effects; prototypes and their functionality; robots and micromachines; experimental validations; concept of mechatronic simulation; mechatronic structures; and regulate of mechatronic systems.

The MUSME symposium on Multibody structures and Mechatronics was once held less than the auspices of IFToMM, the foreign Federation for advertising of Mechanism and laptop technological know-how, and FeIbIM, the Iberoamerican Federation of Mechanical Engineering.

Since the 1st symposium in 2002, MUSME occasions were characterized incidentally they stimulate the combination among some of the mechatronics and multibody structures dynamics disciplines, current a discussion board for facilitating contacts between researchers and scholars more often than not in South American nations, and function a joint convention for the IFToMM and FeIbIM communities.

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Extra resources for Multibody Mechatronic Systems: Proceedings of the MUSME Conference held in Huatulco, Mexico, October 21-24, 2014

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Mech Mach Theory 70:523−537 5. Landò R (2001) Analisys and design of a nutating planetary gear-train, MS thesis, University of Genoa (in Italian) 6. Ligang Y, Bing G, Shujuan H, Guowu W, Dai JS (2010) Mathematical modeling and simulation of the external and internal double circular-arc spiral bevel gears for the nutation drive. J Mech Des Trans ASME 132(2):0210081−02100810 7. Litvin FL, Zheng Y (1986) Robotic bevel-gear differential train. Int J Robot Res 5:75−81 8. Molyneux WG (1997) The internal bevel gear and its applications.

J. Bejarano and J. Dávila Main contribution: in this paper a control design is proposed to do the controlled output stabilization by using only partial state information. It is shown that under suitable assumptions the part of the unknown input that cannot be decoupled from the controlled output may be compensated by using unknown input estimation. Paper structure: the description of the system and the problem formulation is given in Sect. 2. Main assumptions required to follow the proposed control design are also given in that section.

6 Experimental and Simulated Results Figure 9a, b show the position of the sensors in the system, where we can see the position of the sensors and the direction of the movement that each motor have in the FLC system. Figure 10 shows a comparison between the implemented method proposed and the MatLab toolkit. The toolkit of Matlab as Bisector and Centroid establish a non-significant difference for the control. The inputs to the controller are: e1 ¼ Ds2ðkÞ À Ds1ðkÞ; and de1 ¼ e1ðkÞ À e1ðk À 1Þ ð8Þ where k, is the sampling time.

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