A fast online moment of inertia identification method and system suitable for servo systems

Abstract

The invention discloses a fast online moment of inertia identification method and system suitable for a servo system. Before calculating the identification formula, a piece of data is extracted online by limiting the motor motion state, and a relatively accurate one is estimated by the motion control model of the motor. The initial value of the identification, the estimation of the initial value can greatly speed up the convergence time of the algorithm, and achieve the effect of fast online identification. Taking into account the sampling delay of the current, the current and the rotational speed are processed synchronously to ensure the validity of the input data of the algorithm. The digital moving average method is used to process the speed and current synchronously. Even a digital processing chip with weak computing power can meet computing needs.

Description

technical field [0001] The invention belongs to the field of parameter identification of servo parameter self-tuning, and more specifically relates to a fast online moment of inertia identification method and system suitable for a servo system. Background technique [0002] The identification of the moment of inertia in the AC servo system is very important for the parameter self-tuning of the speed loop. The fluctuation of the moment of inertia in the actual system will also deteriorate the dynamic performance of the servo drive and affect the bandwidth of the speed loop. The upper limit of the speed loop bandwidth of the AC system is the system limit bandwidth, which is a basic parameter that affects the design of the speed loop PI controller. Real-time monitoring of the system moment of inertia and adjustment of the parameters of the speed loop PI controller can ensure that the system is always in a good operating state. [0003] At present, the common moment of inertia i...

AI Technical Summary

Problems solved by technology

[0004] In view of the above defects or improvement needs of the prior art, the present invention provides a fast online moment of inertia identification method and system suitable for servo systems, thereby solving the problem that the traditional moment of inertia identification method is limited in actual working conditions and the identification converges Long time and other issues

Images