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-...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 vi-brations 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%.展开更多
基金Supported by National Natural Science Foundation of China(Grant No.51875031)Beijing Municipal Natural Science Foundation of China(Grant No.3212010).
文摘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 vi-brations 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%.
