Fuzzy control system for sintering end point

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Fuzzy Control System of Sintering End Point In the sintering process, the furnace temperature is difficult to observe and control. The final product quality depends on the uniformity of the sintering temperature. If the temperature is too high or too low, not only will waste the material, but als......

Fuzzy Control System of Sintering End Point

In the sintering process, the furnace temperature is difficult to observe and control. The final product quality depends on the uniformity of the sintering temperature. If the temperature is too high or too low, not only will waste the material, but also affect the product quality. Therefore, it is necessary to establish an effective control system for the sintering furnace to ensure the optimum temperature for sintering and at the same time ensure the standard of product quality.

Fuzzy control technology is a kind of control strategy in modern control theory, which can solve the problem of nonlinear system with complex structure, strong disturbance and poor obviousness. Therefore, fuzzy control system is regarded as a promising method for the control of sintering end point.

The fuzzy control system of sintering end point is composed of several conceptual functions, including fuzzy reasoning block, fuzzification block, inference engine, defuzzification block and control action block. The fuzzy reasoning block establishes a bridge between the control system and the process to be controlled. By fuzzy logic, it transforms the controller’s action decision into a set of fuzzy rules, and then makes the best control action. The fuzzification block is a function that converts the input signal into a signal that conforms to the fuzzy variables, while the inference engine is a programmable unit that extracts the meaning rules from the fuzzy sets according to the relevant operations and draws a conclusion from the processed data. Finally, the defuzzification block applies the rules drawn from the inference engine to the fine-tuning adjustments of the output to the final control action.

The fuzzy control system of sintering end point is characterized by its self-learning capability. With the help of this soft-computing algorithm, the fuzzy inference system can adjust the parameters of the control system to realize the precise control of the sintering furnace temperature by learning from the operation process data.

The sintering end point fuzzy control system can be used for precise control and scheduling of sintering process. It can effectively eliminate the influence caused by the environmental disturbance and the stochastic properties of the sintering process, which ensures the product quality while reducing the waste of raw materials. The fuzzy control system of sintering end point is an effective solution to effectively control and schedule the sintering process while ensuring the quality of the product.

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