A Machining Method with Adaptive Control Aiming at Constant Spindle Power

Abstract

The invention relates to a self-adaptive control processing method aiming at constant spindle power, aiming at constant spindle power during processing, and controlling the spindle power by changing the feed speed. For the target power difference ΔP, feed speed f, rotational speed S, radial depth of cut d, axial depth of cut a p Fit the formula with the feed speed adjustment amount Δf, use the acquisition system to obtain the above processing parameters in real time, transmit the processing parameters to the control system, calculate the processing speed Δf in the control system, and adjust the feed speed f, To ensure constant power processing of the workpiece, the algorithm formula is simple and the operation time is short, and it is easier to embed into general CNC systems such as Siemens and FANUC, and no external equipment is required. The transplant performance can realize the adaptive control in the high-precision machining process.

Description

technical field [0001] The invention relates to the technical field of precision machining, in particular to an adaptive control machining method aiming at constant spindle power. Background technique [0002] Adaptive control system is an automatic control system that automatically adjusts controller parameters to obtain satisfactory performance according to changes in the parameters of the controlled object itself or the surrounding environment. Adaptive control usually includes identifying the dynamic characteristics of the object, taking decisions based on the identified object, As well as changing the system action according to the decision-making instructions, the adaptive control is the same as the conventional feedback control, and it is also a control method based on a mathematical model. During the operation of the system, information about the model is continuously extracted to gradually improve the model. [0003] Using adaptive control in the field of machine t...

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Problems solved by technology

The traditional adaptive control method usually uses a self-built CNC system, or an external acquisition device and control device to control the processing parameters of the CNC system to achieve constant spindle power or constant cutting force, so as to protect the tool and improve processing efficiency. At present, adaptive control methods are generally used in open CNC systems or self-built CNC systems. These control systems are difficult to achieve the finishing effect of complex parts. It is difficult for existing adaptive control methods to be embedded in FANUC and Siemens CNC systems.

[0004] For example, Document 1: "Mathematical Modeling of CNC Milling Adaptive Control System Based on Linear Motor Servo System" (Hu Puxi, Qian Wei, Chen Jingfei. Science Technology and Engineering, 2011, 11(4):838-840), In this document, external acquisition equipment and control equipment are used to control the processing parameters of the CNC system, and complex algorithms can be used to calculate the control amount. Feed control on existing machine tools will affect the accuracy of existing machine tools, and it is difficult to achieve adaptive control on high-precision and complex-shaped workpieces

[0005] Document 2: "Adaptive Control of Processing Process Based on Fuzzy Wavelet Neural Network" (Lai Xingyu, Yan Chunyan, Ye Bangyan, etc. Tool Technology, 2008, 42(4):71-74.), this document combines the qualitative knowledge of fuzzy control Combining the expression ability with the excellent local control performance of wavelet analysis and the quantitative learning ability of neural network, a fuzzy wavelet neural network adaptive controller is proposed, and it is applied to the process control; Literature 3: "Constant milling processing Power Adaptive Control" (Chu Tongsheng, Shi Weixiang, Lin Tingqi, Xue Zude. Journal of Shaanxi University of Science and Technology, 1991, 9(1), 27-35), designed a constant power adaptive controller using TP-801 single-board computer as an adaptive controller. Control system, developed adaptive control program and external interface circuit, and carried out experimental research on XK-715 CNC milling machine. Both literature 2 and literature 3 have complex algorithms and slow response speed, so they can only be used on the self-built control system platform Medium, low machining accuracy and poor embedding

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