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Inertia identification method and system based on speed interpolation and storage medium

An identification method and interpolation technology, applied in the field of inertia identification, can solve the problem of low accuracy of identification results of MRAS inertia identification algorithm, and achieve the effect of improving accuracy

Active Publication Date: 2021-02-23
GUANGDONG TOPSTAR TECH +1
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Problems solved by technology

[0004] Through the above analysis, the existing problems and defects of the prior art are: when square wave and triangular wave signals are input as speed commands, the accuracy of the identification results of the MRAS inertia identification algorithm is not high

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  • Inertia identification method and system based on speed interpolation and storage medium
  • Inertia identification method and system based on speed interpolation and storage medium
  • Inertia identification method and system based on speed interpolation and storage medium

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Embodiment 1

[0086] The mechanical parameters of the AC servo system include the moment of inertia, load torque, friction coefficient, etc., among which the moment of inertia has the greatest influence on the speed control performance. For the permanent magnet synchronous AC servo system, the change of the moment of inertia will affect the mathematical model of the permanent magnet synchronous motor, so the identification of the moment of inertia is very important to improve the performance of the servo system. Commonly used motor inertia identification algorithms include: direct calculation method, acceleration and deceleration method, model reference adaptive method, least squares method, state observer method, extended Kalman filter method, and model reference adaptive method because of its good dynamic performance is widely used in the field of servo control. In addition, with the continuous improvement of the automation level, high-performance servo control systems are more and more w...

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Abstract

The invention belongs to the technical field of inertia identification, discloses an inertia identification method and system based on speed interpolation, and a storage medium, and uses different improved MRAS inertia identification algorithms to perform inertia identification based on different input speed waveforms. The method includes: judging the input speed waveform as a triangular wave or asquare wave; when the input speed waveform is a triangular wave, selecting an improved MRAS inertia identification algorithm based on triangular wave input to perform MRAS inertia identification; andwhen the input speed waveform is a square wave, selecting an improved MRAS inertia identification algorithm based on square wave input to perform MRAS inertia identification. According to the inertiaidentification method, the problem of low precision of the result obtained when inertia identification is carried out by taking the triangular wave and the square wave as the input speed signals is solved, a targeted improved MRAS inertia identification algorithm is provided, and the precision of the inertia identification result is improved. Compared with other improvement schemes of MRAS, the method has the advantages of being smaller in calculation burden and more practical.

Description

technical field [0001] The invention belongs to the technical field of inertia identification, and in particular relates to an inertia identification method, system and storage medium based on velocity interpolation. Background technique [0002] At present, the mechanical parameters of the AC servo system include the moment of inertia, load torque, friction coefficient, etc., among which the moment of inertia is very important for the design of the speed loop controller, torque feedforward, and disturbance observation. Usually, for the actual AC servo system, the value of the moment of inertia is unknown, and some identification algorithms are often used to estimate this value. Common moment of inertia identification algorithms include: direct calculation method, acceleration and deceleration method, model reference adaptive system (Model Reference Adaptive System, MRAS), least squares, state observer, extended Kalman filter, among which MRAS has good Dynamic performance i...

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Application Information

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IPC IPC(8): H02P21/00G01C25/00
CPCH02P21/0017G01C25/005
Inventor 宋宝杨承博唐小琦周向东李虎刘永兴钟靖龙张翔刘伟华
Owner GUANGDONG TOPSTAR TECH