Study On Active Disturbance Rejection Control Of Magnetic Levitation System Of Controllable Excitation Linear Synchronous Motor

Compared with the traditional drive system,the magnetic levitation drive system of governable excitation linear electric motor eliminates the intermediate transmission link and and no friction occurs during operation.Supported the National scientific discipline Foundation Project "Research on operation mechanism and management strategy of rail technology feed platform of governable excitation linear synchronous motor",aiming at the characteristics that the system of governable excitation linear motor is prone to external interference,this paper studies the active disturbance rejection management of its vertical rail technology system.the precise analysis contents area unit as follows:（1）Study the operation mechanism of governable excitation linear electric motor and solve its mathematical model,and deduce the voltage,flux linkage,magnetic force thrust,suspension force equation in vertical direction and motion equation in horizontal direction.For the coupling downside between the suspension and therefore the feed system,the id = zero management strategy is adopted to partly decouple,and so the rail technology force and magnetic force thrust within the suspension direction area unit derived,therefore on style the rail technology system and rail technology controller.（2）The concept of ADRC strategy is applied to the levitation system of governable excitation linear electric motor.The look of pursuit person（TD）,extended state observer（ESO）and nonlinear state error feedback management law（nlsfe）is completed step by step to create a third-order nonlinear ADRC.The most operate of TD in ADRC is to filter and track the given signal and scale back the interference to the signal.ESO in the main estimates and compensates the load disturbance,finish impact and external unsure disturbance of the system.Nlsfe uses nonlinear operate and error variable to weight to get the management law.During this paper,the third-order nonlinear ADRC has the matter of multi parameter calibration,and therefore the calibration law of nonlinear operate parameters is given.The system simulation model of ADRC is established.Compared with PI controller,the benefits of third-order nonlinear ADRC to system management area unit analyzed.（3）Study and improve the principle of the normal gray wolf improvement algorithmic rule,and apply the improved gray wolf improvement algorithmic rule to optimize the parameters of the third-order nonlinear ADRC.Though the gray wolf improvement algorithmic rule is less complicated to implement and desires less parameters to be adjusted than other improvement algorithms,its resolution accuracy isn’t high.Therefore,the advantage that the best resolution of particle swarm improvement algorithmic rule are often mechanically keep in memory is combined with the gray wolf improvement algorithmic rule to boost the answer accuracy of the algorithmic rule.Then choose the suitable performance index,build the simulation model,simulate and analyze the ADRC system,the ADRC system optimized by the gray wolf algorithmic,the ADRC system optimized by gray wolf improvement algorithmic,and compare and analyze the simulation results.