Suppressing method for gyroscopic effect of axially phase-separated magnetic levitation flywheel rotor

Abstract

The invention provides a method for suppressing the gyro effect of an axial phase-splitting magnetic levitation flywheel rotor, which belongs to the technical field of magnetic levitation transmission. Firstly, based on the translational and rotational coordinate systems, the dynamics model of the axial phase-separated maglev rotor is constructed, and then the decoupling of the translational mode and the rotational mode is realized by using decentralized control, and then the nutation mode and the rotational mode are realized based on the centralized control of inverse system decoupling. The precession mode is decoupled, and finally the system closed-loop synthesis is performed on the decoupled nonlinear system through a robust servo regulator and a dynamic compensator. The invention combines decentralized control and centralized control to complete the gyro effect suppression algorithm of the magnetic levitation flywheel rotor based on mode decoupling, which can simplify the control algorithm and improve the control precision and robustness at the same time.

Description

technical field [0001] The invention relates to a method for suppressing the gyro effect of an axially phase-separated magnetic levitation flywheel rotor. Background technique [0002] The flywheel energy storage system is a physical energy storage device for electromechanical energy conversion. It has the advantages of large specific power, small size, long life, fast charging and discharging, clean and pollution-free, etc. It is a new type of energy storage with high research value and broad application prospects. technology. On the basis of fully retaining the high-speed and excellent characteristics of the switched reluctance motor, the magnetic levitation switched reluctance motor further improves the high-speed performance and operating efficiency of the motor through the active control of its own levitation force. Introducing it into the flywheel energy storage can realize the suspension support of the system with ultra-low power consumption and the integrated operat...

AI Technical Summary

Problems solved by technology

For example, the most widely used decentralized proportional-integral-derivative (PID) control ignores the coupling effect between degrees of freedom, and the control accuracy is low at high speeds; while various cross-feedback control algorithms mostly use Taylor linearization method to linearize the system model at the equilibrium point , so as to complete the feedback control, which is not robust to air gap changes; the adaptive feedback control method has good control accuracy and robustness, but the algorithm has a large amount of calculation and low real-time performance; the inverse system linearization decoupling algorithm The physical concept is clear and easy to implement, but it is easily affected by model and parameter changes. In practical applications, it is necessary to further design robust servo regulators, such as sliding mode control, H∞ control, μ synthesis, and linear quadratic (LQR) control , neural network, fuzzy control, etc., which makes the algorithm very complicated

Therefore, the existing gyro effect suppression methods have shortcomings in algorithm accuracy, simplicity, and robustness, and it is difficult to achieve satisfactory control effects in the actual application of complex high-speed maglev systems.

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