The unified modeling language (UML), which is introduced in this paper, is an important technology about the developing method of object-oriented software. UML can make each component of the large complicated system visualize, then indicate and construct the system model, and build up various documents. Sewing Machine Showroom in Vadapalani This paper, which takes the electromotor choice expert system of sewing machine as an instance, describes how to design and realize the fact base and rule base in this expert system and how to carry out and spread this expert system with the Java program.
Sewing Machines Are Arranged Dependent On Their Usefulness, And They Have Likewise Been Ordered Relying Upon Their Highlights Like Sewing, Knitting And Weaving.
The robotic handling of non-rigid objects, such as fabrics, is a very complicated problem since it is very difficult to model and predict the behavior of the fabric. The non-linearity, the large deformations and the very low bending resistance of the fabrics increase the complexity and difficulty of the robotic handling. In this paper, the robotized sewing is examined, where the fabric must be held taut and unwrinkled.Sewing Machine Showroom in Saligramam Actually, a constant tensional force, which must be applied to the fabric throughout the feeding to the sewing machine, affects the seam’s quality to a great extent . Gershon clearly justified the need for force feedback control, in order to obtain a fabric’s constant tensional force in the sewing task.
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. Sewing Machine Showroom in Porur 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.
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