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.

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.

Time Simulation of Water Shipping for a Ship Advancing in Large Longitudinal Waves

1993 ◽  
Vol 37 (02) ◽  
pp. 126-137
Author(s):  
Ming-Chung Fang ◽  
Ming-Ling Lee ◽  
Chwang-Kuo Lee
Keyword(s):  
Nonlinear Effects ◽  
Ship Motion ◽  
Irregular Waves ◽  
Wave System ◽  
Time Step ◽  
Large Wave ◽  
Time Simulation ◽  
Head Waves ◽  
Speed Effect

The technique of time-domain numerical simulation for the occurrence of water shipping on board in head waves is presented. The nonlinear effects of the large-amplitude motion are treated. These nonlinear factors include the effect of large wave amplitude, large ship motion, the change of hull configuration below the free surface and the nonlinear resultant wave. Therefore, the variation of the potentials and the hydrodynamic coefficients for a ship at each time step must be carefully treated. While handling the determination of the instantaneous wave surface around the ship hull, the complete incident, diffracted, and radiated wave system is used rather than the incident wave only. The complexity of the ship speed effect on the related terms is also treated at each time step, especially for the radiation problems. An experimental setup is also designed to measure the motion response and the relative motion, and comparisons are made. The results show excellent agreement and the validity of the theory is confirmed. The successful development of the present technique can be extended to analyze the dynamic stability, capsize phenomena, and ship motion in irregular waves

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

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.

Fuzzy Self-Tuning Precompensation PD Control with Gravity Compensation of 3 DOF Planar Robot Manipulators

2010 ◽  
Vol 22 (4) ◽  
pp. 551-560
Author(s):  
Ahmed Foad Amer ◽  
◽  
Elsayed Abdelhameed Sallam ◽  
Wael Mohammed Elawady ◽  
Keyword(s):  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Robot Manipulator ◽  
Industrial Robot ◽  
External Perturbation ◽  
Gravity Compensation ◽  
Pd Control ◽  
Control Laws ◽  
Self Tuning ◽  
Fuzzy Pd

Industrial robot control covers nonlinearity, uncertainty and external perturbation considered in control laws design. Proportional and Derivative (PD) with gravity compensation control is well-known control used in manipulators to ensure global asymptotic stability for fixed symmetrical positive definite gain matrices. To enhance PD with gravity compensation controller performance, in this paper, we propose hybrid fuzzy PD control precompensation with gravity compensation, consisting of a fuzzy logic-based precompensator followed by hybrid fuzzy PD with gravity compensation controller. Hybrid fuzzy control is done by a Supervisory Hierarchical Fuzzy Controller (SHFC) for tuning conventional controller Proportional and Derivative gains based on actual tracking location and velocity error. Hierarchical hybrid fuzzy control consists of an intelligent upper supervisory fuzzy controller and a lower direct conventional PD controller. Numerical simulations using the dynamic model of a three DOF planar rigid robot manipulator with uncertainty show the effectiveness of the approach in trajectory tracking problems. Our results show that the proposal controller has performance superior to a conventional controller.

Self-Tuning Fuzzy Controller Design for a Switched Reluctance Motor Drive System

2013 ◽  
Vol 418 ◽  
pp. 100-103
Author(s):  
Shun Yuan Wang ◽  
Chwan Lu Tseng ◽  
Shou Chuang Lin ◽  
Jen Hsiang Chou ◽  
Yu Wen Chen ◽  
...  
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Switched Reluctance Motor ◽  
Drive System ◽  
Electromagnetic Torque ◽  
Switched Reluctance ◽  
Reluctance Motor ◽  
Self Tuning

This study adopts the fuzzy control theory to design a self-tuning fuzzy controller (STFC), which allows adjustment to overcome the controller design difficulty caused by switched reluctance motor (SRM) nonlinearity. Based on the torque sharing function (TSF), the proposed STFC was implanted into an SRM direct torque control (DTC) drive system to develop a system with superior speed and electromagnetic torque dynamic responses. In addition, the control strategy possessed excellent electromagnetic torque response, and effectively improved the dynamic response of the system. Keywords: fuzzy control theory, switched reluctance motor (SRM), torque sharing strategy.

Design and Simulation Analysis on Self-Tuning Fuzzy Controller Based on Scaling Factor and Quantitative Factor

2014 ◽  
Vol 539 ◽  
pp. 630-634
Author(s):  
Jie Liang
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Moral Education ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Modern Science ◽  
Fast Response ◽  
Quantitative Factor ◽  
Self Tuning ◽  
Scientists And Engineers

Along with the development of modern science and technology information, fuzzy control theory based on its unique advantage becomes more and more popular with scientists and engineers, therefore it is quickly applied to all walks of life, and is one of the advanced teaching theory introduced in educational industry. Firstly, on the basis of mapping between classical set and fuzzy set, the paper comprehensively analyzes the intelligent fuzzy control theory. Based on the improved fuzzy controller which is self-correcting through scale factor and quantification factor, we establishes the fuzzy control model of moral education. In order to verify the feasibility of the model, we design the fuzzy controller to carry out the applied simulation by using the MATLAB fuzzy logic toolbox, and the results show that the system has fast response, strong adaptability, and good steady-state performance.

Research of Fuzzy PID Control Based on VHDL

2013 ◽  
Vol 416-417 ◽  
pp. 885-889
Author(s):  
Xue Song Wang
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Design Method ◽  
Operating Experience ◽  
Fuzzy Pid Control ◽  
Self Tuning ◽  
Controlled Object

This paper describes the use of VHDL and fuzzy controller design process.Compared with conventional PID control, fuzzy control is not dependent on the accurate mathematical model of the controlled object. The implementation of integrated practical operating experience and the operation is simple, fast response, anti-interference ability, strong robustness parameters of controlled object. In response to the limitations of the traditional PID control algorithm in the control field, the fuzzy control theory with the traditional PID control algorithm by combining the parameters self-tuning function, the proposed fuzzy self-tuning PID controller design method and algorithm-depth study analysis.

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