Position Control of Ultrasonic Motors Using Neural Network.

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

scour modeling piles of kambuzia industrial city bridge using hec-ras and artificial neural network

today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...

Quick and Precise Position Control of Ultrasonic Motors Using Adaptive Controller with Dead–zone Compensation

A position control scheme for an ultrasonic motor using an adaptive controller with dead-zone compensation is presented in this paper. In the proposed controller, the adaptive control scheme compensates the time-varying characteristic of the motor with online parameter identification. In order to overcome the effect of a dead-zone, a P controller is adopted. The effectiveness of the proposed co...

متن کامل

Adaptive Neural Position Tracking Control for Induction Motors via Backstepping

The position tracking control of induction motors with parameter uncertainties and load torque disturbance is addressed. Neural networks are employed to approximate the nonlinearities and an adaptive backstepping technique is used to construct controllers. The proposed adaptive neural controllers guarantee that the tracking error converges into a small neighborhood of the origin. Compared with ...

متن کامل

A Neural Network-PSO Based Control for Brushless DC Motors for Minimizing Commutation Torque Ripple

This paper presents the method of reducing torque ripple of brushless DC (BLDC) motor. The commutation torque ripple is reduced by control of the DC link voltage during the commutation time. The magnitude of voltage and commutation time is estimated by a neural network and optimized with an optimization method named particle swarm optimization (PSO) algorithm analysis. The goal of optimizati...

متن کامل

assessment of the efficiency of s.p.g.c refineries using network dea

data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEJ Transactions on Industry Applications

سال: 1996

ISSN: 0913-6339,1348-8163

DOI: 10.1541/ieejias.116.1059