Control And Modeling Of Ultrasonic Motor Based On DSP

The ultrasonic motor (USM) is a new type of motor. With advantages of low speed high torque andpower self-locking, no electromagnetic interference etc, the USM has a broad prospect of application inmany fields. Using the USM as an actuator is a good method to suppress the flutter of an airfoil. Thisdissertation presents how to control the USM to prepare for the research of flutter suppression in thefuture. At present, it is difficult to establish accurate mathematical model for the USM. As the complexand nonlinear control characteristic, it still has no perfect control method. Especially, it is more difficultto control the speed and position servo system precisely. I improved the traditional PID control intoincremental PID control and used the digital signal processor (DSP) to control the USM and modeled it.This paper focuses on researching the construction of experimental platform, the software programmingof control system, the testing of motor control and mathematical modeling.First of all, make the reasonable arrangement of whole system structure. Choosing thecorresponding components such as controller, actuator and sensor based on the characteristics of thecontrol system. The appropriate supply power is decided by the main dissipative element, at the sametime, the voltage is gained by non-essential element through the circuit conversion. According to thespecial control requirements, change the motor drive circuit to finish the experiment platform.Secondly, to realize the system requirements such as the communication between the controllerand computer, the reading of sensor data, the controlling of motor speed, it requires settingcorresponding settings to each controller module respectively, and programming to realize control.Finally, text the voltage speed characteristic of the USM through the DSP emulator, get the voltagespeed data and input the data to meet the requirement of the motor control. Applying different signalsthrough the experiment, the USM tracks well. Make a little change of the control algorithm whentracking the complex signal, satisfactory results are obtained. According to the experiment data, Iidentified the parameters. The result verified that the model is suitable for the motor.