Dynamic decoupling control of radial suspension forces on bearingless permanent magnet-type synchronous motors

According to the radial suspending forces of bearingless permanent magnet-type synchronous motors(BPMSM) being strongly nonlinear and coupled, a dynamic decoupling control strategy for radial suspension forces of the BPMSM based on neural network inverse(NNI) system method has been proposed. The working principle and radial suspension forces generating principle of the BPMSM were introduced. Then the mathematical model describing the dynamic behavior of the radial force model was set up, and the reversibility of the model was proved. The nonlinear and strongly coupled system was dynamic decoupled into two linear position subsystems using NNI method. Furthermore, linear control system techniques were applied to these decoupled linear subsystems to synthesize desired response, and then the close controller was designed. Finally, the simulation system is set up with Matlab software, and the simulation research and performance analysis were carried out. The simulation results have shown that the proposed decoupling method is effective.