【摘要】：作為一種新型原理的電機,超聲電機以其獨有的結(jié)構(gòu)緊湊、低速大轉(zhuǎn)矩、斷電自鎖、無電磁干擾及響應(yīng)速度快等優(yōu)點得到了越來越廣泛的關(guān)注與應(yīng)用。近些年來,科技界對超聲電機驅(qū)動控制技術(shù)的研究倍加重視,它也是當(dāng)前機電一體化領(lǐng)域的一個新的研究熱點。首先,本文介紹了超聲電機的工作特點、發(fā)展歷史及其應(yīng)用的場合,概述了超聲電機驅(qū)動控制技術(shù)的研究現(xiàn)狀,并對超聲電機的基本結(jié)構(gòu)以及運行機理和調(diào)速原理做了闡述。其次,研制了基于DSP的超聲電機驅(qū)動控制系統(tǒng),該系統(tǒng)可對超聲電機分別進行調(diào)壓、調(diào)頻、調(diào)相控制,并且采用了多個反饋模塊,可以對超聲電機的轉(zhuǎn)速、電壓以及電流的信息進行反饋采集,從而形成了一個閉環(huán)的控制系統(tǒng)。最后,采用了經(jīng)遺傳算法優(yōu)化的BP神經(jīng)網(wǎng)絡(luò)的超聲電機轉(zhuǎn)速控制方法。在設(shè)計的通用驅(qū)動控制系統(tǒng)基礎(chǔ)上,對超聲電機的轉(zhuǎn)速輸出誤差進行控制,并且進行了電機的啟動測試和長時間穩(wěn)定運行實驗。實驗結(jié)果表明,優(yōu)化后的BP神經(jīng)網(wǎng)絡(luò)算法顯著減小了超聲電機的轉(zhuǎn)速輸出誤差,改善了電機的性能。
[Abstract]:As a new type of motor, ultrasonic motor has been paid more and more attention and applied because of its unique advantages, such as compact structure, low speed and large torque, power-off self-locking, no electromagnetic interference and fast response speed. In recent years, the research of ultrasonic motor drive control technology has been paid more and more attention in the field of science and technology, and it is also a new research hotspot in the field of mechatronics. Firstly, this paper introduces the working characteristics, development history and application of ultrasonic motor, summarizes the research status of driving control technology of ultrasonic motor, and expounds the basic structure, operation mechanism and speed regulation principle of ultrasonic motor. Secondly, the drive control system of ultrasonic motor based on DSP is developed. The system can adjust voltage, frequency modulation and phase modulation of ultrasonic motor respectively, and adopt several feedback modules, which can control the speed of ultrasonic motor. A closed-loop control system is formed by feedback acquisition of voltage and current information. Finally, the speed control method of ultrasonic motor based on BP neural network optimized by genetic algorithm is proposed. Based on the design of the universal drive control system, the output error of ultrasonic motor is controlled, and the start-up test and long-time stable operation experiment of the motor are carried out. The experimental results show that the optimized BP neural network algorithm can significantly reduce the output error of ultrasonic motor speed and improve the performance of the motor.
【學(xué)位授予單位】：南京航空航天大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TM359.9

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