scholarly journals A Real-Time Accurate Model and Its Predictive Fuzzy PID Controller for Pumped Storage Unit via Error Compensation

Energies ◽  
2017 ◽  
Vol 11 (1) ◽  
pp. 35 ◽  
Author(s):  
◽  
◽  
◽  
◽  
Keyword(s):  
Real Time ◽  
Error Compensation ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Storage Unit ◽  
Accurate Model ◽  
Fuzzy Pid Controller ◽  
Pumped Storage

Design and Analysis of the Fuzzy PID Controller of the Carbon Fiber Multilayer Loom

2013 ◽  
Vol 846-847 ◽  
pp. 224-227
Author(s):  
Yu Bai ◽  
Jian Cheng Yang ◽  
Jing Jing Li ◽  
Xiu Ming Jiang ◽  
Hua Qing Wang ◽  
...  
Keyword(s):  
Control System ◽  
Carbon Fiber ◽  
Real Time ◽  
Pid Controller ◽  
Tension Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Tension Sensor ◽  
Tension Control System ◽  
Design Ideas

According to the characteristics of carbon fiber and tension requirement of multilayer angle interlocking loom, tension in the weaving process of carbon fiber needs to be consistent.Based on this requirement, a kind of fuzzy PID controller is designed.Through the real-time detection and feedback of tension sensor, the fuzzy PID controller for the tension control system compensates tension timely, so as to realize the constant tension.In this article, the design ideas of analog PID controller, parameter adjustment rules are introduced.The simulation of tension control system has been done through MATLAB software.The results show that the controller can meet the control requirements.

Fuzzy Controller Design for Multi-Legged Robot

2011 ◽  
Vol 383-390 ◽  
pp. 7345-7350
Author(s):  
Zhi Yong Tang ◽  
Hai Xiao Zhong ◽  
Zhong Cai Pei ◽  
Yan Hao Bu
Keyword(s):  
Control System ◽  
Real Time ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Controller Design ◽  
High Accuracy ◽  
Dynamics Analysis ◽  
Legged Robot ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller

In this paper, we propose a mechanical structure for multi-legged robot. Referring the request of control system, we also made a proper choice on driving means. After dynamics analysis on a single leg of the robot, we make a simulation using ADAMS and get how the torque of each joint is changing when the robot is walking. The model of DC motor is established for the control system. Fuzzy PID controller was used to get real-time response and high accuracy of control system.

scholarly journals Angular Position Control of 3-Cars Crane System Using Proposed Fuzzy-PID Controller

2021 ◽  
Vol 7 (1.) ◽  
Author(s):  
Şahin YILDIRIM
Keyword(s):  
Real Time ◽  
Simulation Study ◽  
Pid Controller ◽  
Position Control ◽  
Angular Position ◽  
The Other ◽  
Fuzzy Pid ◽  
Control Approach ◽  
Fuzzy Pid Controller ◽  
Simulation Results

This paper presents a novel control approach for 3 cars crane systems. Nowadays; some problems for carrying unpredicted loads of crane systems exist. On the other hand; long bar loads are very important to carry without touch on other materials in factories. In this simulation study, fuzzy based controllers were designed to control vibrations of 3 cars crane system. The simulation results are improved and show this kind of controllers will be employed in real time such systems.

scholarly journals Real- time implementation of parallel type fuzzy- PID controller for effective control of hybrid Pole self bearing Switched reluctance motor

2018 ◽  
Vol 7 (2.21) ◽  
pp. 112
Author(s):  
R S.R. Krishnam Naidu ◽  
U Salma
Keyword(s):  
Real Time ◽  
Structural Design ◽  
Pid Controller ◽  
Design Procedure ◽  
Switched Reluctance Motor ◽  
Effective Control ◽  
Fuzzy Pid ◽  
Switched Reluctance ◽  
Fuzzy Pid Controller ◽  
Reluctance Motor

This paper presents a hybrid intelligent and design in a real time for the rapid prototyping of a robust fuzzy controller along with conventional Proportional– Integral and Derivative (PID) controller that allows quick insight of these integrated designs. The design procedure of the parallel fuzzy PID and its combination with the traditional PID in a universal control scheme are extended. The structural design of the parallel fuzzy PID controller is composed of three fuzzy sub controllers which are connected in parallel. These parallel sub controllers are assembled to get the proposed parallel fuzzy type PID controller. The hybrid fuzzy PID gains are expressed in the error domain. Hence, the structural design presents an alternative to control schemes employed so far. This hybrid intelligent controller is formulated and executed in real world hardware for position as well as speed control of a Hybrid Pole Self Bearing Switched Reluctance Motor (HPSBSRM) drive system. The design of the parallel fuzzy PID controller, implementation and finally analysis all are carried out using MATLAB/Simulink environment. Software results concluded that the novel hybrid intelligent parallel fuzzy PID controller generates better control action when compared to traditional PID controller, predominantly in system nonlinearities and in external load variations.  

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