Self-recovery regulation method of rotor unbalance vibration based on GWO-ALQR

Excessive unbalanced vibrations of rotor-bearing systems significantly affect the stability and safety of high-end rotating machinery, such as aero engines, turbo-generators, and high-end machine tools. To realize the on-line self-recovery of unbalanced vibration faults in a rotor system, a self-recovery regulation method based on the grey wolf optimization-adaptive linear quadratic regulator (GWO-ALQR) is proposed. First, a self-recovery regulation system for unbalanced vibrations was constructed, with the state-space equation of the control system obtained and discretized based on the dynamic equation of the rotor-bearing system. Subsequently, a self-recovery regulation method for unbalanced vibrations based on GWO-ALQR was designed based on the state-space equation. In this method, the parameters of the control system are optimized using grey wolf optimization (GWO), with the working conditions identified on-line. The optimization parameters were selected independently, while the control commands were generated through a linear quadratic regulator (LQR) to control the action of the actuator to achieve self-recovery of the unbalanced vibration. The experimental results indicate that the unbalanced vibration of the rotor system can be restrained below the expected vibration threshold by the self-recovery regulation system based on GWO-ALQR and the final vibration suppression effect can exceed 70 %.