The Research On Optimal Control Algorithm Of Magnetic Suspension Inertial Sensing System

Based on inertial sensing technology and magnetic suspension theoretical model,magnetic suspension inertial sensing system can accurately and timely measure linear acceleration and angular acceleration information of moving objects.Its structure is small,its development cost is low,and it has high reliability and anti-interference ability,can also meet various sports needs.Therefore,it is a new inertial sensing systerm that is meeting the requirements of development.Control algorithm is the basis of system to face external disturbances,which can maintain system stability and adapt to system changes rapidly,and its performance directly affects the stability of the system.In order to enhance the measurement accuracy of the existing inertial sensing system and anti-jamming ability,optimize the system to improve its dynamic performance,and achieve the automatic control of control system and suppress the interference to ensure the system measurement function of real-time,accuracy and robustness,research on the most optimal control algorithm.In this paper,the relevant research work is completed from the perspective of theoretical analysis,control algorithm research,system optimization and algorithm application.It is specifically divided into the following aspects:1.The mechanical model of inertial sensor is set up,and the theoretical analysis of magnetic suspension is perfected,which lay the foundation for the simulation research and system construction.2.Based on the theory of closed loop feedback control,the typical control algorithm is studied on the basis of magnetic levitation theory.Through the simulation and the results of comparing,the fuzzy PID control algorithm based on the improved genetic algorithm is obtained as the optimal control algorithm model.3.The construction of the system is completed,the resarch result is elaborated from the functional module,and the system is further optimized from the system structure,the displacement sensing method and the coil driving capability.4.The stability test of system communication is completed,which proves the stability,interactivity and real-time performance of the system communication.Also the optimization algorithm is successfully applied to the system.By comparing with other algorithm,the superiority of the system is proved,and the robustness and anti-interference ability of the system are improved.