Positioning System with Progressive Wave-Type Ultrasonic Motor under Self-Tuning Fuzzy Control

1995 ◽  
Vol 7 (1) ◽  
pp. 63-68 ◽  
Author(s):  
Junji Fukumi ◽  
◽  
Takuya Kamano ◽  
Takayuki Suzuki ◽  
Yu Kataoka ◽  
...  
Keyword(s):  
Feedback Loop ◽  
Fuzzy Controller ◽  
Lower Layer ◽  
Tracking Error ◽  
Ultrasonic Motor ◽  
The Self ◽  
Positioning System ◽  
Wave Type ◽  
Nonlinear Characteristics ◽  
Self Tuning

This paper considers the use of a self-tuning fuzzy controller for a positioning system with a progressive wavetype ultrasonic motor. The system consists of a feedback loop with a conventional controller and a self tuning fuzzy controller. The objective of the self tuning fuzzy controller is to restrain the adverse effect of nonlinear characteristics of the motor and to improve the tracking performance. The self-tuning fuzzy controller is functionally divided into two layers. The fuzzy rules are automatically adjusted by a tuning algorithm so that the tracking error is minimized in the upper layer. In lower layer, the output signal of the self tuning fuzzy controller is obtained by fuzzy reasoning procedure. After the tuning process is completed, the tracking error almost converges to zero, and the ultrasonic motor is no longer controlled by the fixed gain feedback controller but by the self-tuning fuzzy controller. The effectiveness of the proposed self-tuning fuzzy controller is demonstrated by an experiment.

A study on water level control of PWR steam generator at low power and the self-tuning of its fuzzy controller

1995 ◽  
Vol 74 (1) ◽  
pp. 43-51 ◽  
Author(s):  
Nanju Na ◽  
Keechoon Kwon ◽  
Changshik Ham ◽  
Zeungnam Bien
Keyword(s):  
Low Power ◽  
Water Level ◽  
Steam Generator ◽  
Fuzzy Controller ◽  
The Self ◽  
Level Control ◽  
Self Tuning

Photovoltaic Grid-Connected Micro-Inverter Based on Self-Tuning Fuzzy-PI Controller

2014 ◽  
Vol 986-987 ◽  
pp. 1098-1102 ◽  
Author(s):  
Chang Liang Liu ◽  
Hui Chao Zhang
Keyword(s):  
Control Strategy ◽  
Fuzzy Controller ◽  
Tracking Error ◽  
Pi Controller ◽  
Matlab Simulation ◽  
Highly Nonlinear ◽  
Self Tuning ◽  
Fuzzy Pi Controller ◽  
Pv Grid ◽  
Micro Inverter

This paper introduces a kind of grid-connected micro-inverter system. Photovoltaic micro-inverter system is a highly nonlinear and time-varying system. Compared to traditional linear control strategy, Fuzzy Controller has better robustness and stability in the changing or non-linear application. Matlab simulation model for current tracking PV Grid-connected Micro-inverter was completed based on the Fuzzy self-tuning PI controller and the control strategy was tested on the micro-inverter prototype. The resu1ts show that this control strategy can effectively reduce the tracking error of the net current, and improve the system’s dynamic response.

A System of Position Control for Cylinder Based on Self-Tuning Fuzzy Control

2012 ◽  
Vol 241-244 ◽  
pp. 1496-1499
Author(s):  
Rui Kun Gong ◽  
Li Jing Zhao ◽  
Chong Hao Wang ◽  
Ya Nan Zhang
Keyword(s):  
Fuzzy Control ◽  
Position Control ◽  
Fuzzy Controller ◽  
The Self ◽  
Accuracy Control ◽  
Strongly Nonlinear ◽  
Single Output ◽  
Control Precision ◽  
Self Tuning ◽  
Fuzzy Control Algorithm

For cylinder position servo system strongly nonlinear and uncertainty, This article puts forward cylinder position control system based on self-tuning fuzzy control. The self-tuning fuzzy control algorithm was introduced to ensure the application of cylinder position control. The self-tuning fuzzy controller we designed applied the control model of double input of position deviation and its deviations rate and single output of control quantity. The study suggested that the position control precision may reach ±0.25 mm.This system can make the cylinder position to get high accuracy control.

Nonlinear Piezo-Actuator Control by Learning Self-Tuning Regulator

1993 ◽  
Vol 115 (4) ◽  
pp. 720-723 ◽  
Author(s):  
C. James Li ◽  
Homayoon S. M. Beigi ◽  
Shengyi Li ◽  
Jiancheng Liang
Keyword(s):  
Parameter Estimation ◽  
Tracking Error ◽  
Diamond Turning ◽  
Piezo Actuator ◽  
Positioning System ◽  
Tool Positioning ◽  
Repetitive Tasks ◽  
Self Tuning ◽  
Learning Parameter ◽  
Actuator Control

This paper presents a learning self-tuning (LSTR) regulator which improves the tracking performance of itself while performing repetitive tasks. The controller is a self-tuning regulator based on learning parameter estimation. Experimentally, the controller was used to control the movement of a nonlinear piezoelectric actuator which is a part of the tool positioning system for a diamond turning lathe. Experimental results show that the controller is able to reduce the tracking error through the repetition of the task.

A Searching Technique for Obstacle-Avoidance of Autonomous Underwater Vehicles by Using the Self-Tuning Fuzzy Controller

2014 ◽  
Author(s):  
Yu Hsien Lin ◽  
Ming Chung Fang ◽  
Hui Hua Chang
Keyword(s):  
Obstacle Avoidance ◽  
Fuzzy Controller ◽  
Autonomous Underwater Vehicles ◽  
Underwater Vehicles ◽  
The Self ◽  
Fuzzy Relations ◽  
Image Detection ◽  
Underwater Image ◽  
Planar Motion Mechanism ◽  
Self Tuning

This study develops a heuristic searching technique for obstacle-avoidance of autonomous underwater vehicles (AUVs) in varying ocean environments by using the self-tuning fuzzy controller. The corresponding hydrodynamic coefficients for the AUV are obtained by the test of Planar Motion Mechanism (PMM), which serves as the important data inputs for the control system. Subsequently, the self-tuning fuzzy controller would be adopted to command the propulsion of AUVs. The function of obstacle-avoidance is based on the underwater image detection method with the BK triangle sub-product of fuzzy relations which can evaluate the safety and remoteness of the candidate routes and the successive optimal strategic routing can then be selected. In the present simulations, the current effect is used to investigate the maneuvering performance of obstacle-avoidance. Eventually, the present study indicates that the self-tuning fuzzy controller, combined with the image detection technique based on BK triangle sub-product of fuzzy relations, is verified to be a useful searching technique for obstacle-avoidance of AUVs in depth variation.

scholarly journals Reduction method of control rules in self-tuning fuzzy controller for positioning system of electro-hydraulic servo system.

1997 ◽  
Vol 28 (7) ◽  
pp. 785-791
Author(s):  
Shinji NOGUCHT ◽  
Kazuya TANIZUMI ◽  
Takuya KAMANO ◽  
Takayuki SUZUKI ◽  
Takashi YASUNO
Keyword(s):  
Reduction Method ◽  
Fuzzy Controller ◽  
Servo System ◽  
Positioning System ◽  
Control Rules ◽  
Hydraulic Servo ◽  
Self Tuning ◽  
Hydraulic Servo System

SWATH Ship Motion Simulation Based on a Self-Tuning Fuzzy Control

2000 ◽  
Vol 44 (02) ◽  
pp. 108-119
Author(s):  
Shan-Chin Chiou ◽  
Ming-Chung Fang
Keyword(s):  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Ship Motion ◽  
The Self ◽  
Irregular Waves ◽  
Viscous Force ◽  
Rule Base ◽  
Gradient Descent Method ◽  
Time Step ◽  
Self Tuning

A time simulation technique using the self-tuning fuzzy control algorithm is applied to control stabilizing fins to reduce the pitch motion of the SWATH ship in longitudinal regular waves. A back-propagation-based fuzzy controller using the gradient descent method is presented and incorporated with the previous mathematical model to simulate the SWATH ship motion. The effects of surge force and viscous force are included. Basically the fuzzy controller consists of five parts:fuzzifier,rule base,database,inference engine, anddefuzzifier. The calculations of the corresponding hydrodynamic coefficients at each time step follow the simplified technique developed before, which needs only one set of initial input data of the ship configuration. After comparing with the results using the static fuzzy controller, we find that the self-tuning fuzzy controller appears to be more practical and more efficient for operating stabilizing fins while the ship speed is high. Therefore, the fuzzy control with self-tuning algorithm developed here may offer a more efficient way to control fins of the SWATH ship and can also be regarded as a good basis for future studies in irregular waves.

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