Sewing Machine Showroom in Korattur - VS SewingMachine
Sewing Machines are arranged dependent on their usefulness, Sewing Machine Showroom in Korattur and they
have likewise been ordered relying upon their highlights like sewing,
knitting and weaving.
In the FIGARO system , a PI controller is used, where the gains were chosen by trial and error. These gains should be modified when a new type of fabric should be handled. Gershon strongly suggested that the conventional control methods are inadequate to handle the fabric tensional force. An adaptive control approach was adopted by R. Patton et.al for controlling the tensional forces applied to a fabric, where the fabric’s stiffness was the unknown variable. They mentioned that non-adaptive control schemes are unsuitable for fabric handling due to high variations of fabrics’ stiffness. Koustoumpardis et al introduced an intelligent force control scheme based on a feedforward neural network (FNN) controller, using a force sensor mounted on the robots wrist Sewing Machine Showroom in Pudur
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. Sewing Machine Showroom in Thirumullaivoyal 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. Sewing Machine Showroom in Nerkundram 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.
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