Self-tuning for a SISO-type Fuzzy Control Based on the Relay Feedback Approach

2018 ◽  
pp. 171-186
Author(s):  
Pablo J. Prieto ◽  
Nohe R. Cazarez-Castro ◽  
Luis T. Aguilar ◽  
Selene L. Cardenas-Maciel
Keyword(s):  
Fuzzy Control ◽  
Relay Feedback ◽  
Self Tuning

Design of Self-Tuning Fuzzy Control and Fault Tolerant Error Control Coding Based on Graphic User Interface for Smart Hybrid Powerpack

2014 ◽  
Vol 574 ◽  
pp. 528-533
Author(s):  
Jek Wang Choi ◽  
Lei Lei Shi ◽  
Li Jun Wu ◽  
Hyeon Woo Kim ◽  
Iksu Choi ◽  
...  
Keyword(s):  
User Interface ◽  
Fuzzy Control ◽  
Intelligent Control ◽  
High Speed ◽  
Error Control ◽  
Fault Tolerant ◽  
Graphic User Interface ◽  
Error Control Coding ◽  
Self Tuning ◽  
Network Fault

The Smart Hybrid Powerpack (SHP) is an electro-hydraulic system which combines the system of Electro Hydraulic Actuator (EHA) and advanced technologies such as network fault tolerance and intelligent control. EHA system has been famous in the industry because that the EHA acts as a power-shift which shifts the power from high-speed electric motor to the high-force of hydraulic cylinder by bi-directional piston pump. If errors in the plant and network occur in the SHP, the system will cause serious malfunctions. To reduce plant noises and network errors, this paper shows the intelligent control method comparing Self-tuning fuzzy with fuzzy control and network fault tolerant error control coding in the SHP. In the intelligent control part, the simulation result shows good performance to reduce plant noises by the self-tuning fuzzy than fuzzy control. In the network fault tolerant error control coding part, proposed scheme also shows good performance by CRC code and Reed-Solomon (R-S) code in two channel (CRT) method than one channel only. We developed LabVIEW Graphic User Interface (GUI) to show these simulation results. Using this GUI, we can save time to experiment and get benefit of guidance to make real program.

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.

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