Research On Boring Machining Modeling And Control Method Based On GMA Drive

Giant magnetostrictive actuator(GMA)be made of Giant Magnetostrictive Material(GMM),Which is superior to that of pure nickel,PZT,piezoelectric tra-nsducer in output displacement,output force,energy density,response Speed,d-ynamic reliability and frequency bandwidth,etc.,GMM is a good material for micro-displacement,but because of GMM's own operating characteristics,the control algorithm put forward higher requirements,so that the application of gi-ant magnetostrictive materials Limited.In this thesis,the working characteristics of the giant magnetostrictive mat-erial are introduced,and the principle and phenomenon of magnetostrictive exp-ansion are explained.It is proposed to apply the giant magnetostrictive actuator to the boring machining system.On the J-A model established by the predece-ssors,The magnetostrictive actuator-driven boring machining system model,co-mpared with the conventional model,takes into account the temperature charact-eristics of the giant magnetostrictive material,can be adapted to different temp-erature requirements,and introduces the introduction of boring processing Com-pare the simulation diagram with the experimental graph to explore the correct ness of the model.In this thesis,the algorithm is fuzzy adaptive PID control.The simulation results show that the response time of fuzzy PID control is long and the resp-onse curve is not smooth.Considering that the neural network has a good lea-rning ability,in order to improve the control precision,The simulation results show that the neural network is faster and the response curve is smooth,and t-he stability,anti-jamming ability and tracking of the system are simulated by simulation.The simulation results show that the neural network is used to sim-ulate the neural network.Signal capability.