The invention belongs to the technical field of magnetic suspension
voltage detection, and relates to a SiC power
amplifier driving magnetic suspension bearing end
overvoltage detection and suppression method. The method comprises the following steps: firstly, constructing a pi-type
distributed parameter model based on a
transmission line theory, and calculating resistance,
inductance,
capacitance and conductance per unit length by considering a high-frequency
skin effect, a proximity effect and
dielectric loss; secondly, deducing a load end
voltage traveling wave superposition expression, revealing a mechanism that an
incident wave and a reflected wave are superposed to form
overvoltage, and determining influences of
propagation delay and a
reflection coefficient; then, in combination with three-level PWM modulation, establishing a
residence time optimization model, and deriving an optimal
residence time
analytic expression; and finally, establishing a normalized sensitivity model, quantifying the influence degree of each parameter on the
overvoltage, determining the parameter priority, quantifying the parameter
coupling rule, and providing reliable modeling support for optimization of PWM parameters of the SiC power
amplifier driven magnetic suspension bearing
system and a load end overvoltage suppression scheme. The method is scientific in principle, accurate in parameter calculation and high in
engineering practicability.