Control method for radial suspension support system of vehicle-mounted flywheel battery based on working conditions

Abstract

The invention discloses a control method for a radial suspension support system of a vehicle-mounted flywheel battery based on working conditions. 1. Taking the magnetic bearing system as the controlled object, dynamic tests and dynamic simulations are used to establish the rotor dynamics of the magnetic bearing system of the flywheel battery under different working conditions The mathematical model and the system state equation; 2 the output x of the magnetic bearing system and the target air gap x * Make a difference to get the air gap error e x , based on the air gap error e x And dynamic model and state equation design sliding mode switching surface and sliding mode controller including equivalent control and switching control, and get the sliding mode control law; 3 combine fuzzy control and RBF neural network to form fuzzy RBF neural network, use fuzzy RBF neural network adjusts the constant velocity gain ε and exponential gain k of switching control; 4. Increase the current controller, convert the output of the fuzzy sliding mode controller into a given current value in the current inner loop, and control the chopper to adjust the control of the magnetic bearing system The magnitude of the current improves the transient response rate of the current, and the chopper outputs the control current Δi of the magnetic bearing system.

Description

technical field [0001] The invention belongs to the technical field of electric transmission control equipment, in particular to a fuzzy neural network dynamic sliding mode control method for a vehicle-mounted flywheel battery radial suspension support system based on working conditions. Background technique [0002] The flywheel battery system is an energy storage device for electromechanical energy conversion, which has the advantages of high energy storage density, strong adaptability, wide application range, high efficiency, and no pollution. provides a new way. Since the rotor in the flywheel system needs to rotate at high speed to store energy, the requirements for the support system are very strict. In addition to bearing the weight of the flywheel rotor, it also needs to consider other factors such as the gyroscopic force and centrifugal force of the flywheel. Because the mechanical bearing has high supporting rigidity and fixed bearing position, when the influence ...

AI Technical Summary

Problems solved by technology

[0004] The invention proposes a fuzzy neural network dynamic sliding mode control method based on working conditions for the radial suspension support system of the vehicle-mounted flywheel battery, which solves the problem of the system runaway caused by the disturbance caused by the rotor rotation of the flywheel battery and the sudden change of load under different working conditions problem, and ensure the robustness and anti-interference performance of the vehicle flywheel battery radial suspension support system, overcome the chattering problem of the actuator, and effectively improve the various control objectives of the vehicle flywheel battery radial suspension support system

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