Wavelet-Based Time-Frequency Control of a Flywheel Energy Storage System

Author(s):  
Colby Lewallen

The objective of this paper was to implement a novel controller called “wavelet-based time-frequency control” (WFXLMS) in a computer simulation of a FES system with six degrees-of-freedom and compare its dynamic stability and active power consumption with the following conventional controllers: PID and fuzzy-logic. Specifically, all three controllers were applied to a FES system operating at 100,000 rpm, and the amplitude of vibration, rate of convergence, and current draw were compared. As of writing this paper, the PID and fuzzy-logic controllers have converged but the WFXLMS controller has not. The parameter values for the WFXLMS controller need further tweaking for a more comprehensive analysis. Despite this setback, both the fuzzy-logic and PID controllers did demonstrate convergence at 100,000 rpm. The fuzzy-logic converged immediately and the PID converged around 0.8 seconds. The PID demonstrated a periodic motion about the z axis while the fuzzy-logic settled at a constant displacement. Finally, the PID controller had a smaller maximum and average current draw over the fuzzy-logic. In conclusion, the PID controller provided sufficient control of the system with the least amount of current draw, but the fuzzy-logic controller provided the steadiest response.

Author(s):  
Xiao Ling ◽  
He Xiwu ◽  
Cheng Wenjie ◽  
Li Ming

A new type of three degrees of freedom axial-radial hybrid magnetic bearing (3-DOF ARHMB) with compact structure, shorter axial length and smaller volume is proposed for the flywheel energy storage system. The axial direction adopts the permanent magnet biased thrust bearing (PMB) made of soft magnetic composite materials (SMCs). In the radial direction, the laminated structure is used to reduce the eddy current, and the Halbach array is introduced to strengthen the magnetic density of the radial air gap. Firstly, the dynamic magnetic flux distribution of the 3-DOF ARHMB is analyzed by the finite element method (FEM). Based on the equivalent magnetic circuit method, the equivalent reluctance model with comprehensive consideration of eddy current effect and magnetic leakage effect is established, and then the frequency responses are analyzed. Secondly, a constraint model coupled with structural parameters, equivalent reluctance and magnetic leakage coefficient is established, and an adaptive particle swarm optimization algorithm (APSO) is used to optimize the bearing parameters. Finally, based on the equivalent reluctance model, the axial and radial force-current factor and force-displacement factor are derived, and the dynamic characteristics of bearings with different structures and materials are compared and analyzed. The results show that the new 3-DOF ARHMB made of SMCs can provide much larger and more stable magnetic force and larger bandwidth than that made of carbon steel materials, and has better dynamic characteristics under higher-frequency conditions, which can meet the industrial requirements of flywheel energy storage system.


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