Metaaction unit rotating speed control method based on simulated annealing algorithm and fuzzy PID

Abstract

The invention belongs to the crossing field of machinery and control, and discloses a meta-action unit rotating speed control method based on a simulated annealing algorithm and a fuzzy PID, which comprises the following steps of: firstly, before rotating speed control, decomposing a whole machine into a subsystem, and then decomposing the subsystem into a meta-action unit for control; collecting the rotating speed of a worm rotating element action unit through a speed sensor, setting the rotating speed of a motor through a controller, designing a control rule table, a fuzzy domain of discourse, a fuzzy language value and a membership function of a fuzzy ID controller algorithm, and achieving setting of an integral coefficient and a differential coefficient; intelligently optimizing a scale factor of a rotating speed P controller by using a simulated annealing algorithm, and determining an optimal value by combining a PID cut-and-try method, so that the rotating speed of a worm rotating element action unit can be accurately controlled, good dynamic and static characteristics are achieved, and the stability of a motor during rotation is improved.

Description

technical field [0001] The invention belongs to the cross field of machinery and control, relates to the control of the rotational speed of the main shaft of a servo motor, in particular to a method for controlling the rotational speed of a meta-action unit based on a simulated annealing algorithm and a fuzzy PID. Background technique [0002] CNC machine tools are the "working machines" in equipment manufacturing. They have high precision, high reliability, high speed, high efficiency, high automation, high flexibility and high complexity. They are the cornerstone of modernization of manufacturing technology and equipment manufacturing. It is an important tool to ensure the development of high-tech industries. The stability of the servo motor is an important factor for CNC machine tools. The workload of decomposing the structure into parts and then analyzing the reliability is very huge, and the increase in the intermediate process will have a corresponding increase in the ...

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Problems solved by technology

[0003] Since it is difficult to establish an accurate mathematical model for the rotational speed system of the worm rotating element, it is difficult to guarantee the control accuracy by conventional PID control. Even if the Smith predictor is combined, the adjustment time is still long, the overshoot is large, and the control accuracy is not ideal.

Using fuzzy PID to control the speed of the servo motor, although the speed control effect has been greatly improved, but the research found that the fuzzy algorithm is not suitable for the parameter setting of the proportional link.

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