Fuzzy Control of Whole Grain Production Automation in Raw Material Field

Fuzzy Control for Automatic Granulation Production in Raw Materials Field In order to further improve the automation level of production process, fuzzy control technology is used in the automation control of raw material granulation production in the raw material field. This paper discusses the w......

Fuzzy Control for Automatic Granulation Production in Raw Materials Field

In order to further improve the automation level of production process, fuzzy control technology is used in the automation control of raw material granulation production in the raw material field. This paper discusses the working principle, advantages and shortcomings of fuzzy control technology in raw material granulation production.

1. Introduction

Raw material granulation production is a process in which fine particles of raw material are ground into granules of uniform size through a series of mechanical processing. This process is very common in many industries, such as food, chemical, and automotive. Due to the complexity and heterogeneity of raw material, it is difficult to achieve accurate control of granulation production. Therefore, fuzzy control technology is introduced to realize the automatic control of granulation production.

2. Working principle of fuzzy control technology

The fuzzy control technology is a type of intelligent control technology, it uses fuzzy inference rules to process, unify and analyze the huge and complex data of homogeneous granulation production process, in order to obtain accurate control parameters and simulate a variety of process conditions. The specific working principle is as follows:

Firstly, the fuzzy controller establishes a fuzzy rule base. The fuzzy rule base is composed of linguistic variables and fuzzy logic. According to the different control objects and control parameters, the membership function is established and the specific control operation process is specified. Secondly, the input data of the control system is collected and analyzed, and the output data of the control system is obtained. Finally, the fuzzy reasoning algorithm is used to obtain the rule table. The combination of the rule table and fuzzy rule base can obtain the output parameters of the control system, which realizes the fuzzy control of granulation production process.

3. Advantages and disadvantages of using fuzzy control technology

The application of fuzzy control technology in raw material granulation production has the following advantages:

Firstly, the fuzzy rule base can precisely simulate the granulation production process, so that the production process can be effectively and accurately controlled in a very short time.

Secondly, fuzzy control technology can reduce manual intervention in granulation production, which can greatly improve the production efficiency and greatly reduce the labor intensity of workers.

Thirdly, fuzzy control technology can provide better and more accurate control over granulation production, making the granules more uniform, which can improve the quality of granulation production.

However, fuzzy control technology has its own shortcomings. The most common and evident one is that the establishment of the fuzzy rule base requires the dedication of numerous personnel and huge resources, resulting in high transaction costs. In addition, it is easy to cause rule explosion and false warning, which can easily lead to inaccurate control and reduce the production efficiency.

4. Conclusion

In conclusion, fuzzy control technology has played a positive role in automatic control of raw material granulation production. Its application can improve production efficiency and reduce labor intensity, while it still has its own shortcomings. To further improve the automation level of the production process, we can continue to research and improve the fuzzy control to solve these problems.

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