scholarly journals A Study on the Dynamic Positioning Control Algorithm Using Fuzzy Gain Scheduling PID Control Theory

2017 ◽  
Vol 54 (2) ◽  
pp. 102-112 ◽  
Author(s):  
Ma-Ro Jeon ◽  
Hee-Su Kim ◽  
Jae-Hak Kim ◽  
Su-Jeong Kim ◽  
Soon-Seok Song ◽  
...  
Keyword(s):  
Control Theory ◽  
Pid Control ◽  
Control Algorithm ◽  
Gain Scheduling ◽  
Dynamic Positioning ◽  
Positioning Control

scholarly journals Research on temperature control of heating furnace with intelligent proportional integral derivate control algorithm

2020 ◽  
Vol 24 (5 Part B) ◽  
pp. 3069-3077
Author(s):  
Feilong Zheng ◽  
Yundan Lu ◽  
Shuguang Fu
Keyword(s):  
Neural Network ◽  
Control Theory ◽  
Temperature Control ◽  
Intelligent Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Network Control ◽  
Furnace Temperature ◽  
Proportional Integral ◽  
Intelligent Pid

In view of the problems of large overshoot and large oscillation frequency in cur?rent furnace temperature control, based on the development of intelligent control theory, expert control, fuzzy control, and neural network control in intelligent control theory are combined with proportional integral derivative (PID) control. The intelligent PID control algorithm is used to carry out numerical simulation and experimental research on these several control algorithms. The results show that the adjustment effect of the intelligent PID control algorithm is significantly better than the traditional PID control algorithm. Among them, the fuzzy self-tuning PID control algorithm and the fuzzy immune PID control algorithm are feasible in the application of furnace temperature control. The neural network PID control algorithm It also has good development and application potential.

scholarly journals Application of a New Membership Function in Nonlinear Fuzzy PID Controllers with Variable Gains

2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Xuda Zhang ◽  
Hong Bao ◽  
Jingli Du ◽  
Congsi Wang
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Membership Function ◽  
Pid Control ◽  
Control Algorithm ◽  
Pid Controllers ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Adjustable Range

This paper proposes a nonlinear fuzzy PID control algorithm, whose membership function (MF) is adjustable, is universal, and has a wide adjustable range. Appling this function to fuzzy control theory will increase system’s tunability. The continuity of this function is proved. This method was employed in the simulation and HIL experiments. Effectiveness and feasibility of this function are demonstrated in the results.

Hardware-in-the-Loop Simulation Research on Driving System of Hybrid Electric Motorcycle

2013 ◽  
Vol 275-277 ◽  
pp. 2445-2450
Author(s):  
Ping Xiao ◽  
Li Tian ◽  
Hong Gao
Keyword(s):  
Control Theory ◽  
Simulation Model ◽  
Pid Control ◽  
Control Algorithm ◽  
Simulation Platform ◽  
Hardware In The Loop ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Driving System ◽  
Hybrid Electric

Abstract. At present, many experts are dedicated to applying new control theory in driving system of hybrid electric motorcycles, but the verification of new control theory in real hybrid electric motorcycles faces many difficulties. Therefore, a hardware-in-the-loop simulation platform of hybrid electric motorcycle’s driving system was designed. At first, mathematic model and simulation model of driving motor were designed. Thereafter, the hardware-in-the-loop simulation platform was designed by taking dSPACE as the carrier of simulation model. In view of multiple values and high nonlinearity of driving system in hybrid electric motorcycles, Bang-Bang Fuzzy PID control algorithm was designed. Furthermore, simulation experiments with different control algorithms were carried out through the hardware-in-the-loop simulation platform designed in this paper. Simulation results indicated that the hardware-in-the-loop simulation platform could work effectively and the control effect of Bang-Bang Fuzzy PID control algorithm was good.

Generalized Predictive Control in Flying Shear Equipment

2007 ◽  
Vol 11 (9) ◽  
pp. 1144-1148
Author(s):  
Jiun-Yaw Wang ◽  
◽  
Mao-Lin Chen ◽  
Ching-Long Shih ◽  
Keyword(s):  
Predictive Control ◽  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Generalized Predictive Control ◽  
Positioning Control ◽  
On Line ◽  
Equipment Control

To develop and evaluate improved on-line flying-shear equipment control tasks, we introduces a Generalized Predictive Control (GPC) PID controller for positioning control of a flying-shear cutter. After successful trials and excellent regulation results, the GPC-based PID control algorithm with constraints is proved to be very robust.

Automation of Process Control in Chemical Plant

2015 ◽  
Vol 2 (1) ◽  
pp. 6-12
Author(s):  
Agus Sugiarta ◽  
Houtman P. Siregar ◽  
Dedy Loebis
Keyword(s):  
Process Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Chemical Engineering ◽  
Chemical Plant ◽  
Raw Material ◽  
Flow Rates ◽  
Material Supply ◽  
Wide Range ◽  
Inherent Problem

Automation of process control in chemical plant is an inspiring application field of mechatronicengineering. In order to understand the complexity of the automation and its application requireknowledges of chemical engineering, mechatronic and other numerous interconnected studies.The background of this paper is an inherent problem of overheating due to lack of level controlsystem. The objective of this research is to control the dynamic process of desired level more tightlywhich is able to stabilize raw material supply into the chemical plant system.The chemical plant is operated within a wide range of feed compositions and flow rates whichmake the process control become difficult. This research uses modelling for efficiency reason andanalyzes the model by PID control algorithm along with its simulations by using Matlab.

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