Research On Modeling And Control Method Of Rotor System Of Magnetic Suspension Bearing

Magnetic suspension bearing rotor suction action by magnetic fields,so as to achieve the contactless control of the rotor,because it has zero contact,zero friction,long working life,no lubrication,high precision,cause the extensive concern of researchers around the world.However,the complicated working environment in the magnetic suspension bearing system,and the load moment also change,this causes the magnetic suspension bearing system modeling is very difficult to work,so the emphasis of the magnetic suspension bearing system control algorithm is with high strength and anti-interference ability,strong robustness,high precision.In this paper,the magnetic suspension bearing rotor system as the research object,research and system main electromagnetic parameters was deduced,and conform to the requirements of the system of high precision mathematical model is established,and the system control algorithm as the research key,contents include as follows: magnetic bearing rotor system is given and details the main working principle of the structure of the module,the method of magnetic circuit analysis,the dominant idea list system requirements,related experience in magnetic bearing rotor system are introduced in detail,and the main electromagnetic parameters needed by the system,and deduces the to power amplifier current response speed and the bias current at the same time the influence of the system is also given corresponding analysis,these is critical for system modeling and electromagnetic parameters are derived.Magnetic suspension bearing capacity calculation,and analyzes the mathematical model is set up,as a thrust magnetic bearing rotor system control object,the basis of mathematical model as to provide theoretical basis for the design of the control algorithm and simulation.For magnetic bearing rotor system with nonlinear and open-loop unstable factors,and the traditional PID controller with fixed parameters can achieve good control effect question,put forward a kind of inverse RBF feedforward compensation,RBF neural network PID feedback control method,through RBF neural network to adjust the three parameters of the PID control,static and dynamic performance of the maglev system.The experimental results show that this method is faster than the conventional PID control.In addition,there are some problems such as the serious nonlinear and easy interference of the electromagnetic force and the control input current of the magneticsuspension bearing,and the adaptive fuzzy sliding mode control scheme is proposed.Sliding mode controller was designed using the nonlinear reaching law,through the fuzzy logic system with arbitrary precision parts,uncertain and thus constructs the fuzzy adaptive sliding mode controller,and through the Lyapunov theory to prove the stability of the system.The method does not depend on the accurate mathematical model of controlled object,can make the magnetic suspension stability quickly in balance,and this method is verified by simulation with fast response,high precision and strong ability to resist disturbance.