scholarly journals A Self-Tuning Method of Fuzzy Rules Based

1996 ◽  
Vol 8 (4) ◽  
pp. 757-767 ◽  
Author(s):  
Yan SHI ◽  
Masaharu MIZUMOTO ◽  
Naoyoshi YUBAZAKI ◽  
Masayuki OTANI
Keyword(s):  
Fuzzy Rules ◽  
Tuning Method ◽  
Self Tuning

Self-Tuning for Fuzzy Rule Generation Based upon Fuzzy Singleton-type Reasoning Method

1999 ◽  
Vol 3 (3) ◽  
pp. 200-206 ◽  
Author(s):  
Yan Shi ◽  
◽  
Masaharu Mizumoto ◽  
Keyword(s):  
Clustering Algorithm ◽  
Learning Algorithm ◽  
Fuzzy Model ◽  
Fuzzy Rule ◽  
Fuzzy Rules ◽  
Rule Generation ◽  
Nonlinear Functions ◽  
Tuning Parameters ◽  
Tuning Method ◽  
Self Tuning

Using fuzzy singleton-type reasoning method, we propose a self-tuning method for fuzzy rule generation. We give a neurofuzzy learning algorithm for tuning fuzzy rules under fuzzy singleton-type reasoning method, then roughly design initial tuning parameters of fuzzy rules based on a fuzzy clustering algorithm before learning a fuzzy model. This should reduce learning time and fuzzy rules generated by our approach are reasonable and suitable for the identified model. We demonstrate our proposal’s efficiency by identifying nonlinear functions.

scholarly journals Control of Pole-Climbing Robot Orientation using Self-Tuning Method

2018 ◽  
Vol 9 (3) ◽  
pp. 1029
Author(s):  
Muhammad Aziz Muslim ◽  
Goegoes Dwi Nusantoro ◽  
Rini Nur Hasanah ◽  
Mokhammad Hasyim Asy’ari
Keyword(s):  
Pole Placement ◽  
Original Position ◽  
Main Task ◽  
Climbing Robot ◽  
Positive Direction ◽  
Rotary Encoder ◽  
Tuning Method ◽  
Placement Method ◽  
Angle Change ◽  
Self Tuning

This paper describes the method to control a hybrid robot whose main task is to climb a pole to place an object on the top of the pole. The hybrid pole-climbing robot considered in this paper uses 2 Planetary PG36 DC-motors as actuators and an external rotary encoder sensor to provide a feedback on the change in robot orientation during the climbing movement. The orientation control of the pole-climbing robot using self-tuning method has been realized by identifying the transfer function of the actuator system under consideration, being followed with the calculation of control parameters using the self-tuning pole-placement method, and furthermore being implemented on the external rotary encoder sensor. Self-tuning pole-placement method has been explored to control the parameters q<sub>0</sub>, q<sub>1</sub>, q<sub>2</sub>, and p<sub>1</sub> of the controller. The experiments were done on a movement path in a form of a cylindrical pole. The first experiment was done based one the change in rotation angle of the rotary sensor with the angle values greater than 50˚ in the positive direction, whereas the second experiment was done with the angle values greater than -50˚ in the negative direction. The experiment results show that the control of the robot under consideration could maintain its original position at the time of angle change disturbance and that the robot could climb in a straight direction within the specified tolerance of orientation angle change.

A Self-Tuning Method of Fuzzy Inference Rules by Descent Method

Fuzzy Logic ◽  
1993 ◽  
pp. 465-475 ◽  
Author(s):  
Hiroyoshi Nomura ◽  
Isao Hayashi ◽  
Noboru Wakami
Keyword(s):  
Fuzzy Inference ◽  
Descent Method ◽  
Inference Rules ◽  
Tuning Method ◽  
Self Tuning

scholarly journals Self-Tuning of Fuzzy Rules with Different Types of MSFs

2004 ◽  
Vol 16 (6) ◽  
pp. 540-550 ◽  
Author(s):  
Eikou GONDA ◽  
Hitoshi MIYATA ◽  
Masaaki OHKITA
Keyword(s):  
Fuzzy Rules ◽  
Different Types ◽  
Self Tuning

Application of Fuzzy PID Control in Sluice Control

2012 ◽  
Vol 241-244 ◽  
pp. 1248-1254
Author(s):  
Feng Chen Huang ◽  
Hui Feng ◽  
Zhen Li Ma ◽  
Xin Hui Yin ◽  
Xue Wen Wu
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Information Integration ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Proportional Integral Derivative ◽  
Fuzzy Pid Control ◽  
Tuning Method ◽  
Fuzzy Pid Controller ◽  
Self Tuning

Fuzzy control, based on traditional Proportional-Integral-Derivative (PID) control, is used to improve the management of a hydro-junction’s sluice scheduling. In this study, we combined the PID and Fuzzy control theories and determined the PID parameters of the fuzzy self-tuning method of a hydro-junction’s sluice. A fuzzy self-tuning PID controller and its algorithm were designed. In hydro-junction sluice control, the Fuzzy PID controller can modify PID parameters in real-time, resulting in a more dynamic response. The application of the fuzzy self-tuning PID controller in the CiHuai River project information integration system yielded very good results.

scholarly journals Dual-Active Bridge Series Resonant Electric Vehicle Charger: A Self-Tuning Method

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 253 ◽  
Author(s):  
Alireza Namadmalan ◽  
Kumars Rouzbehi ◽  
Juan Manuel Escaño ◽  
Carlos Bordons
Keyword(s):  
Control Method ◽  
Frequency Control ◽  
Fixed Time ◽  
Robust Solution ◽  
Zero Voltage Switching ◽  
Tuning Method ◽  
Dual Active Bridge ◽  
Series Resonant ◽  
Self Tuning ◽  
Power Direction

This paper presents a new self-tuning loop for a bidirectional dual-active bridge (DAB) series resonant converter (SRC). For different loading conditions, the two active bridges can be controlled with a minimum time displacement between them to assure zero voltage switching (ZVS) and minimum circulation current conditions. The tuning loop can instantly reverse the power direction with a fast dynamics. Moreover, the tuning loop is not sensitive to series resonant tank tolerances and deviations, which makes it a robust solution for power tuning of the SRCs. For simplicity, the power is controlled based on the power-frequency control method with a fixed time displacement between the active bridges. The main design criteria of the bidirectional SRC are the time displacement, operating frequency bandwidth, and the minimum and maximum power, which are simply derived and formulated based on the self-tuning loop’s parameters. Based on the parameters of the tuning loop, a simplified power equation and power control method is proposed for DAB-SRCs. The proposed control method is simulated in static and dynamic conditions for different loadings. The analysis and simulation results show the effectiveness of the new tuning method.

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