scholarly journals Novel hybrid fuzzy-PID control scheme for air supply in PEM fuel-cell-based systems

2017 ◽  
Vol 42 (15) ◽  
pp. 10435-10447 ◽  
Author(s):  
Zakaria Baroud ◽  
Mohammed Benmiloud ◽  
Atallah Benalia ◽  
Carlos Ocampo-Martinez
Keyword(s):  
Fuel Cell ◽  
Pid Control ◽  
Pem Fuel Cell ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Air Supply ◽  
Control Scheme ◽  
Hybrid Fuzzy Pid

Feedforward fuzzy-PID control for air flow regulation of PEM fuel cell system

2015 ◽  
Vol 40 (35) ◽  
pp. 11686-11695 ◽  
Author(s):  
Kai Ou ◽  
Ya-Xiong Wang ◽  
Zhen-Zhe Li ◽  
Yun-De Shen ◽  
Dong-Ji Xuan
Keyword(s):  
Fuel Cell ◽  
Pid Control ◽  
Air Flow ◽  
Pem Fuel Cell ◽  
Flow Regulation ◽  
Cell System ◽  
Fuzzy Pid ◽  
Fuel Cell System ◽  
Fuzzy Pid Control

Study of Tobacco-Redrying System Based on Fuzzy PID Control

2012 ◽  
Vol 220-223 ◽  
pp. 1240-1243
Author(s):  
Yu Yu Zhu ◽  
Ya Jun Zhou
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Fuzzy Inference ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Scheme ◽  
Simulation Results ◽  
Performance Target

The process of tobacco-redrying has the characteristics of lagging, uncertainty and being nonlinear, so it is unable to satisfy every performance target only by using the traditional PID controlling method. In response to this reality, this paper, by using the fuzzy inference ability of fuzzy control, proposes a fuzzy PID based control scheme to achieve the online adjustment of the PID parameters in tobacco-redrying process and to make them in the required range. Simulation results show that the controller can effectively control the process of tobacco-redrying.

Hybrid Fuzzy PID Control of Hydraulic Robot

2002 ◽  
Author(s):  
Rong Liu ◽  
Xuanyin Wang ◽  
Xuchu Huang
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Nonlinear Differential Equations ◽  
Target Position ◽  
Hydraulic Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Linear Control Theory ◽  
Uncertain Dynamics ◽  
Hybrid Fuzzy Pid

This paper presents a fuzzy tracking control methodology for hydraulic control system of robot with generalized pulse modulation (GPCM) control by combining the merits of fuzzy logic and conventional linear control theory. The hydraulic control systems with GPCM control have the high nonlinearity and uncertain dynamics, therefore the simple linear or nonlinear differential equations cannot sufficiently represent corresponding practical system. The designed controllers based on the model cannot guarantee the good performance such as stability and robustness. A hybrid of fuzzy and PID control algorithm is proposed as the solution. The control algorithm is separated into two parts: fuzzy control and PID control. The fuzzy controller is used to control the piston when the piston is near the desired position, and PID controller is applied when the piston is far away the target position. The hybrid fuzzy PID is implemented on computer and applied to control the arms of hydraulic robot with GPCM control. The results from the experiments show that the proposed hybrid fuzzy PID control has good performance.

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