Neuro-fuzzy speed control of traveling-wave type ultrasonic motor drive using frequency and phase modulation

Tien Chi Chen, Chih Hsien Yu, Chun Jung Chen, Mi Ching Tsai

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)


This paper presents a Fuzzy Neural Network (FNN) control system for a traveling-wave ultrasonic motor (TWUSM) driven by a dual mode modulation non-resonant driving circuit. First, the motor configuration and the proposed driving circuit of a TWUSM are introduced. To drive a TWUSM effectively, a novel driving circuit, that simultaneously employs both the driving frequency and phase modulation control scheme, is proposed to provide two-phase balance voltage for a TWUSM. Since the dynamic characteristics and motor parameters of the TWUSM are highly nonlinear and time-varying, a FNN control system is therefore investigated to achieve high-precision speed control. The proposed FNN control system incorporates neuro-fuzzy control and the driving frequency and phase modulation to solve the problem of nonlinearities and variations. The proposed control system is digitally implemented by a low-cost digital signal processor based microcontroller, hence reducing the system hardware size and cost. The effectiveness of the proposed driving circuit and control system is verified with hardware experiments under the occurrence of uncertainties. In addition, the advantages of the proposed control scheme are indicated in comparison with a conventional proportional-integral control system. Crown

Original languageEnglish
Pages (from-to)325-338
Number of pages14
JournalISA Transactions
Issue number3
Publication statusPublished - 2008 Jul

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Instrumentation
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


Dive into the research topics of 'Neuro-fuzzy speed control of traveling-wave type ultrasonic motor drive using frequency and phase modulation'. Together they form a unique fingerprint.

Cite this