Papers by Author: Guo Ping Ding

Abstract: Gyroscopic effects in the flywheel rotor greatly influence rotor stability especially at high speed. When the pole-zero position moves to right of s-plane, the damping of the pole is getting smaller, and the stability of system is getting worse with the increasing of rotor speed when the decentralized PD control law is used only. The LQR (linear quadratic regulator) control method is used to reduce gyroscopic effect and forced vibration. The simulation results show that LQR controller have a good performance on the reduction of gyroscopic effect and vibration of magnetic flywheel rotor system.

Abstract: Magnetic suspended wind turbine generator is widely studied due to its low loss, low maintenance cost and high reliability. However, affected by the small stiffness of magnetic bearing, the generator shaft supported by magnetic bearing will be eccentric. Therefore, the performance of generator will be affected. A horizontal axial magnetic suspended wind turbine generator is designed in this paper. The variations of shaft eccentricity and Maxwell force of rotor supported by different bearing stiffness are studied. The results show that the shaft eccentricity affects the performance of generator; and the bearing stiffness is the key to reduce those effects. The magnetic bearing designed in this paper can meet the requirements of generator.

Abstract: In this paper, we use recursive least squares method for magnetic single layer vibration isolation system identification to get the system transfer function matrix. By considering the fitting degree, pole-zero, the step response to adjust the order of model and noise structure for optimizing the model Identification. Applying the system transfer function matrix to the magnetic active vibration control system to improve the isolation effect. The results showed that: significantly improved isolation effect, verify the validity of this identification model for magnetic single isolation system.

Abstract: Feedforward control method to control vibration in the active vibration isolation system was discussed. By introducing the FIR filter as the feedforward link, using the mean-square deviation of system error as the performance index and utilizing the LMS algorithm to obtain the optimal parameters of controller, the design of adaptive feedforward controller was fulfilled. The simulation results showed that: for the active vibration isolation system with regularly vibration source, adopting adaptive filter method of feedforward control has notable effect. The contrast experiment with using the PID controller further verified the simulation results.