Research Of Hysteresis Nonlinear Model For Piezoelectric Ceramic Actuators

With the rapid development of microelectromechanical system, the research andapplication of micro and nano driven materials received more and more concern andattention. The piezoelectric ceramic is a new kind of functional ceramic materials which hasthe ability of converting mechanical energy and electrical energy to each other, and it hasthe advantages of small size, fast response, high precision and large driving force, etc., so ithas been widely used in high-tech fields. However, there are some urgent problems withpiezoelectric ceramic materials, such as hysteresis nonlinearity, many scholars at home andabroad are on the study of how to reduce the hysteresis of piezoelectric ceramic andimprove its control precision.The paper introduced the adhibition of piezoelectric ceramic and actuators briefly,described research history and current research results of the hysteresis of piezoelectricceramic material, analyzed the control methods of piezoelectric ceramic actuators and thehysteresis nonlinearity, summarized and analyzed the dynamic hysteresis modeling andcontrol method of piezoelectric ceramic actuators.To realizing the accuracy control of the input-output hysteresis nonlinear ofpiezoelectric ceramic actuators, improved PI model were used to establish the hysteresisnonlinear model of piezoelectric ceramic actuators, maximum likelihood estimation andElman neural network were used to identify the parameters of the model that were presented,and maximum error is0.48μm. Then BP neural network was used to establish the hysteresisnonlinear model of piezoelectric ceramic actuators, and the two modeling approach werecontrasted, and maximum error is0.35μm.The paper established the inverse model of piezoelectric ceramic actuators, and theinverse model was used as feedforward controller to conduct the feedforward open loopcontrolling to piezoelectric ceramic actuators and the result is satisfied.In order to further improve the control precision of the piezoelectric ceramic actuator, feedforward control used inverse model and PID feedback control simulation experimentwas took place, and then improved mononeuron self-adaption PID control and expert fuzzycontrol were used to improve the control precision by Matlab, the result of improvedmononeuron self-adaption PID control was the best, its maximum error is0.37μm.