Abstract
In many chemical and semiconductor manufacturing processes, temperature is an important control parameter for obtaining the desired product quality. Generally, the temperature control system has non-linear time-varying, slow response, time-delay and one-way control input characteristics. It is difficult to estimate accurately the dynamic model and design a general-purpose temperature controller to achieve good control performance. Here a model-free intelligent gain-scheduling fuzzy control strategy is proposed to design a temperature controller for an iron closed chamber with heater input only. The concept of gain scheduling is employed to adjust the mapping ranges of fuzzy membership functions during the control process for improving the control performance. The experimental results show that the steady-state errors of the step input responses are always less than 0.2°C without overshoot by using this control scheme. It is suitable for industrial temperature control systems.
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