Fund Project: School Research Funded Project (NO: KX990208) Artificial Intelligence technology has unique effects when dealing with objects that are highly ineffective, time-varying, and uncertain, which are not very effective with traditional methods based on accurate mathematical models. . Looking back at the development history of control theory, it can be seen that its development process reflects the era of mankind entering the electrification era from the era of mechanization, and moving toward the era of automation, information and intelligence. Since the 1960s, due to the development of space technology, computer technology and artificial intelligence technology, on the basis of researching self-organization and self-learning control, the scholars in control circles began to apply artificial intelligence technology and methods in order to improve the self-learning ability of the system. The actual control system: 1. Since the development of hardware numerical control technology to software numerical control, the computer numerical control technology has been in a period of continuous improvement of functions in the past two decades. Although there are some reports of novel numerical control technology, it has not broken through the traditional system framework. Based on the above situation, this paper proposes to apply artificial intelligence technology to computer numerical control system, and seek new intersections and new ways of integration. Since the CNC machine tool is a complex controlled object combining machine, electricity, liquid and gas phase, it is difficult to establish an accurate mathematical model. Although the classical control theory can solve some control problems, it is in the process of control and fault diagnosis and maintenance. It seems a bit difficult. To this end, this paper aims to achieve a replacement or improve system performance for a certain functional module of the numerical control system using artificial intelligence technology. 1 Fuzzy Control in Numerical Control System Fuzzy Mathematics (also known as Fuzzy Set Theory) was created in 1965 by LAZadeh. In the process of deeply exploring and studying the relationship and contradiction between "big system", "fuzziness", "computer" and "human brain thinking", he started from the separation of mathematics and human brain thinking, and found that Contor created The set theory is essentially a mathematical concept that is abstracted out of ambiguity and is an absolute and rigorous purpose. To this end, he unifies ambiguity and mathematics, and does not let mathematics give up its rigor to ambiguity, but let mathematics go back to absorb the advantages of human brain in the understanding and reasoning of fuzzy phenomena, so in 1965 in InformationandControl The magazine published the first groundbreaking classic "FuzzySets", a two-dimensional fuzzy controller can be used to achieve gain control. The block diagram is shown in the figure. The FDD fuzzy lookup table in the figure can use the membership function. And rule-based reasoning can also be used to adjust the control strategy with simple and practical rules. Position loop gain fuzzy control principle box Artificial neural network application in numerical control system Artificial neural network (ANN) has been studied for a long time, and once in the 1960s, a research boom was launched. But after a decade of downturn, the revival began in the 1980s, which attracted great interest from researchers. To sum up, ANN has the following salient features: distributed storage information, even if a certain part of the network is damaged, can rely on associative memory to restore the original information. Processing information in parallel, greatly speeding up the operation. Learning in a continuous manner is simple. A network of many neurons can be approximated to any nonlinear system. Therefore, the control system based on ANN design has good adaptability, intelligence and robustness, and can deal with complex objects with high dimensionality, nonlinearity, strong interference, uncertainty and difficult to model, as shown below. Several aspects: the use of adaptive neurons to achieve the control of the gain of the CNC position loop software. Use ANN to realize fault diagnosis of CNC system. The ANN is used to realize the interpolation calculation of the numerical control system. Interpolation calculation in CNC system is one of the core modules. It is the process of inserting some intermediate points between the starting point and the end point according to the line type, starting point, end point, speed and other information of the contour of the machined part. The densification of data points'. The BP-type artificial neural network has a strong ability to approximate complex functions, and it has been proved that with a three-layer BP neural network, as long as the number of nodes in each layer is sufficient, theoretically, it can approach any complexity. The nonlinear function. We can use this feature to construct a three-layer BP neural network to interpolate the non-circular curve contour, as shown. 3 Expert system in the numerical control system in the 1960s, and obtained extremely valuable applications. The so-called expert system is a computer program system that provides important problems within the professional scope of the human level. It solves the problem of knowledge reasoning in structures that are not well defined or difficult to determine algorithms. In general, a well-functioning ES consists of seven parts: knowledge base, reasoning mechanism, problem understanding, user interface, conclusion, learning mechanism, and knowledge acquisition, as shown. However, the general expert system is relatively large in scale and belongs to the category of static knowledge processing. Online control cannot be realized in the face of actual control systems. To this end, Astrom introduced it to the field of real-time control in 1984, and for the first time proposed the name of Expert Control (ExpertControl), which has now developed into an important branch of intelligent control. The computer numerical control system (machine tool) is a fusion (down to page 40). 3 Conclusion The NC addition process has been studied intensively. The generalized process idea in CNC machine tool machining and the optimization method for CNC machining cutting amount are proposed. The optimized mathematical model of the main processing methods in NC machining was systematically established, and the corresponding application software was developed. The actual economic efficiency was very significant through the actual verification of the precision processing branch factory in the 455 factory. Through the cutting experiment of the tool, a more realistic and durable experience formula was established. Zhou Zehua. The principle of metal cutting. Shanghai: Shanghai Science and Technology Press, 1984 Li Shiyong. Fuzzy control. Neural control and intelligent cybernetics. Harbin: Harbin Institute of Technology Press, 1998 Machinery Industry Press, 1999 Technology and Machine Tool, 2000 (Technology and Machine Tool, 2001 (Instructor, Master. (Editor He Gang) (Finish) Fungho Industries (Group) Co., Limited , https://www.funghogroup.com
Application Research of Artificial Intelligence Technology in Numerical Control System