| Switched reluctance linear machine(SRLM)has been applied more and more in the industrial field due to its simple structure,low cost,high starting electromagnetic force and small starting current.However,due to the double salient structure of the SRLM and its work in the non-linear region,the electromagnetic force ripple and noise problems are more serious.In order to solve this problem,this article aims at the electromagnetic force ripple suppression problem of the SRLM with a 6/4 type bilateral The model switched reluctance linear motor(DSRLM)has been studied for the prototype.First,the Matlab/Simulink model of the SRLM drive control system is established,which includes the design of the power converter,control module,speed calculation module,rotor position calculation module,etc.,and the establishment of the winding module.After that,this thesis introduces the electromagnetic force ripple suppression method of the electromagnetic force distribution equation.The electromagnetic force distribution equation has a balancing effect on the electromagnetic force ripple during the commutation process,and the principle is simple.However,through simulation and experiments,it is found that the electromagnetic force distribution equation indirectly controls the electromagnetic force by controlling the reference current.Due to inductance and other reasons,the required electromagnetic force cannot be obtained by controlling the current in time,and the electromagnetic force distribution equation also has the disadvantage of making the system more complicated.In order to solve the problem of the electromagnetic force that the current always lags behind,this thesis proposes a predictive-fuzzy control method.According to the current operating state of the motor,through the discretization of the voltage balance equation,the electromagnetic force of the next stage can be obtained.The fuzzy control adopts the parameter adaptive adjustment method.By comparing the current electromagnetic force with the predicted electromagnetic force,the reference current value of the system is obtained.By predicting the electromagnetic force in the next stage of the system,the current can be controlled in advance,which reduces the problem that the current lags behind the electromagnetic force and the system has a poor suppression effect on the electromagnetic force.Both simulation and experimental results show that predictive fuzzy control has better electromagnetic force ripple suppression performance than electromagnetic force distribution function control.The thesis has 51 figures,7 tables,and 87 references. |
