merritt sewing machine price in chennai,perambur, mylapore, madipakkam - VS SewingMachine
VS Sewing Machine, Merrit Sewing Machine Price in Chennai , Perambur, Mylapore, Madipakkam
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Here, we present a facile
method for rapid fabrication of low-cost, stretchable electrical
interconnections for wearable electronics. Using a commercial sewing
machine, thin metallic wires are sewn onto the wearable materials in a
double-stitch zigzag pattern, with the second stitch being a
water-soluble polyvinyl alcohol (PVA) thread. The stretchable pattern is
secured onto a clothing (e.g., a glove) with a stretchable elastomer
coating followed by dissolution of the PVA thread in water. The
interconnections maintain a constant electrical conductivity for strains
up to 50 % and bending cycles over 15000. As a proof of concept
implementation, we sewed interconnects and a soft capacitive force
sensor onto a latex glove to create a wearable tactile sensor with a
linear sensitivity .merritt tailoring machine in chennai, perambur, mylapore, madipakkam
In some control applications, where it is very difficult to obtain the plant model or the required computation time is too high, fuzzy adaptive control was introduced. The direct fuzzy adaptive control is the mostcommon approach, particularly the fuzzy model reference learning control (FMRLC). The main advantage of this approach is the simplicity together with the high performance , a fact that makes it appealing for implementation in a wide range of industrial processes. H. F. Ho et.al. , used direct fuzzy adaptive control for a nonlinear helicopter system. The control objective was to maintain the elevation and azimuth angles to maintain the desired trajectories. Rehman used a fuzzy model reference learning controller in order to regulate the speed of an induction motor. Tarokh, proposed an adaptive fuzzy control scheme for explicit force control of a robot manipulator in contact with an environment whose parameters are unknown and vary considerably but slowly. The adaptation mechanism modifies the fuzzy force controller according to the difference between the actual and the desired forceresponses .
The robotics group of the department of the Mechanical Engineering and Aeronautics has been working the last years on the robotic handling of fabrics.The robotic sewing is one of the tasks that consist the group’s research. In this framework, a feedforward neural network (FNN) controller , able to guide a wide range of fabric types, was implemented. The target of the controller was to apply a desired constant tensional force to the fabric during the whole sewing process. In order to investigate further this area, the implementation of a FMRL controller was decided. Also, the fact that no work using fuzzy adaptive control has been found in the robotics handling of fabrics area consisted an additional motive to use this method.
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