Optimal Design of Suspension Control of Superconducting Gyroscope Rotor Based on Flower Pollination Algorithm

When superconducting gyroscope rotor is deviated from the center, the traditional method is to use its negative stiffness characteristic to make the rotor automatically return to its original position. In order to improve the dynamic performance of superconducting gyroscope rotor, an optimized design of the rotor suspension control system is carried out. Firstly, the force of the gyroscope rotor is analyzed. Secondly, the suspension control loop of the gyroscope rotor system is designed. Thirdly, the controller parameters in the suspension control loop are optimized by using flower pollination algorithm (FPA). The experimental results show that the dynamic performances optimized of the suspension control system of superconducting gyroscope rotor are obviously improved.