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Abstract
In temperature control systems, it is desired to obtain a good product, by keeping the temperature at a desired value. For examples, iron furnaces, glass industry, cement industry, plastic industry, and preparation of supper conducting samples needs a specific temperature of an electrical furnace system. The aim is to design a robust controller to regulate the temperature of electrical furnace system. Because of the high capacity of the electrical furnace system and the variation of operating conditions.FLC is highly recommended because it is known to be robust with respect to disturbances, large uncertainty and variations in process behavior. Moon et al, reported a n integrating approach of fuzzy control and conventional proportional algorithm to control a TV glass furnace. Also controllers ranging from conventional PID controllers to hybrid conventional-fuzzy controllers are proposed in. On the other hand PLCs have many advantages such as flexibility, correcting errors, space efficient, low cost, testing and visual observation. In this thesis a PI-like FLC ’”is designed. Improvement 0 f the controller performance is achieved by adjusting the scaling factor of control variables. Also a Nonlinear PID FLC for the temperature process is designed. In this thesis the TSX 37-22 Micro PLC of Schneider electric is used with analog interface to implement control algorithms. Controller design needs prior knowledge about the process in the presence of noise. The system is modeled by using the open loop test of Ziegler-Nichols.