Study of Fuzzy-PID Control in MATLAB for Two-Phase Hybrid Stepping Motor

2013 ◽  
Vol 341-342 ◽  
pp. 664-667 ◽  
Author(s):  
Sheng Yi Zhang ◽  
Xin Ming Wang
Keyword(s):  
Pid Controller ◽  
Setting Time ◽  
Mathematic Model ◽  
Stepping Motor ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Two Phase ◽  
Pid Algorithm ◽  
Fuzzy Pid Controller ◽  
Hybrid Stepping Motor

two-phase hybrid stepping motor is widely used for driving part in industry controlling, the research for control algorithm applied in stepping motor becomes more and more important. The mathematic model of the two-phase hybrid stepping motor and the structure of Fuzzy-PID controller are detailed, and the simulation model of Fuzzy-PID controller in MATLAB/simulink is also founded. Finally, the simulation is done separately for a conventional PID controller and the Fuzzy-PID controller, and the result shows that the setting time and the maximum overshoot value is greatly reduced for the fuzzy-PID controller, and the performance of fuzzy-PID controller is better than conventional PID algorithm.

Variable Speed Control Using Fuzzy-PID Controller for Two-phase Hybrid Stepping Motor in Robotic Grinding

2016 ◽  
Vol 3 (1) ◽  
pp. 102
Author(s):  
Adnan Jabbar Attiya ◽  
Salam Waley Shneen ◽  
Basma Abdullah Abbas ◽  
Yang Wenyu
Keyword(s):  
Pid Controller ◽  
Speed Control ◽  
Stepping Motor ◽  
Fuzzy Pid ◽  
Motor Speed ◽  
Two Phase ◽  
Fuzzy Pid Controller ◽  
Robotic Grinding ◽  
Hybrid Stepping Motor ◽  
Grinding Tool

In a robotic grinding process, a light-weight grinder is held by an intelligible robot arm. Material removal is carried out by the rotating grinding tool while the end effector of robot guarantees that the tool follows a programmed path in order to work on complex curved surfaces. Grinding tool is driven by Two-Phase Hybrid Stepping motor derive. This work aims to develop a controller based on fuzzy logic to improve the speed control performance of Two-Phase Hybrid Stepping motor derive in order to achieve a controller that provides grinding with higher quality. The analysis and design of PID-Fuzzy controller to improve the response of the motor speed were studied. This paper simulates six motor speed input conditions. The simullink package of the MATLAB. Comparison between the conventional PID controller and Fuzzy-PID output was done on the basis of the simulation result obtained by MATLAB. The simulation results demonstrate that the designed Fuzzy-PID controller realize a good dynamic behavior of the Two-Phase Hybrid Stepping motor, a perfect speed tracking with less rise and settling time, minimum overshoot, minimum steady state error and give better performance compared to conventional PID controller.

Control of Hybrid Stepping Motor Drive Using Computational Verb PID Controllers

2013 ◽  
Vol 853 ◽  
pp. 428-434 ◽  
Author(s):  
Xue Qin Zheng
Keyword(s):  
Pid Controller ◽  
Pid Controllers ◽  
Motor Drive ◽  
Stepping Motor ◽  
Fuzzy Pid ◽  
Load Variations ◽  
Fuzzy Pid Controller ◽  
Hybrid Stepping Motor ◽  
Simulation Results ◽  
Low Performance

Thanks to the development of microprocessors, hybrid stepping motors have been widely used in many areas where they perform positioning operations. However, the stepping motor suffers from system variations, low performance and lack of adaptability to load variations, which slow down their responding speed of high-precision positioning operations. In this paper, a computational verb PID controller is proposed to control the position of a stepping motor drive. The simulation results show that the computational verb PID controller has better performances than conventional and fuzzy PID controllers. The simulation results also show that the responding speed and positioning accuracy of the controlled hybrid stepping motor were greatly improved. Computational verb PID controller has much less computational complexity than fuzzy PID controller.

Study on Rotational Speed Intelligent Regulation of Diesel Generator Based on Fuzzy PID Algorithm

2014 ◽  
Vol 1008-1009 ◽  
pp. 1022-1026
Author(s):  
Le Yu Zhang ◽  
Zhao Jin ◽  
Xiao Bin Pan ◽  
Jian Yan
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Mathematic Model ◽  
Fuzzy Pid ◽  
Diesel Generator ◽  
Pid Algorithm ◽  
Fuzzy Pid Controller ◽  
Governing System ◽  
Strong Robustness ◽  
Simulation Results

Based on a mathematic model of diesel generator mechanical centrifugal governor and the traditional PID control and fuzzy control, a fuzzy PID controller is designed so as to accomplish the self-adjustment of diesel generator mechanical governor parameters. The fuzzy PID controlling diesel generator mechanical governing system is simulated by Simulink and the simulation results suggest that the fuzzy self-adjusting PID control owns the merits of well dynamic property, strong robustness and better adaptability compared to the traditional PID control. Therefore, the performance of diesel generator rotate speed governing system is largely advanced.

Research on Automatic Leveling System of Railway Rescue Crane

2014 ◽  
Vol 909 ◽  
pp. 241-246
Author(s):  
Ling Zhang ◽  
Jun Peng Shao ◽  
Gui Tao Sun ◽  
Bing Wei Gao ◽  
Zhao Hui Jin ◽  
...  
Keyword(s):  
Pid Controller ◽  
Control Algorithm ◽  
Control Process ◽  
Fuzzy Pid ◽  
Matlab Simulation ◽  
Fuzzy Pid Control ◽  
Pid Algorithm ◽  
Fuzzy Pid Controller ◽  
Logic Control ◽  
Working Principle

Automatic leveling system used in railway rescue crane has characteristics such as time variance, nonlinearity and strong interference, which bring a variety of difficulties in control process into existence. This paper introduces the working principle and mathematical model of automatic leveling system used in railway rescue crane. A fuzzy PID controller based on fuzzy logic control algorithm and conventional PID algorithm is designed, MATLAB simulation results show that the effectiveness of the proposed fuzzy PID controller, and the fuzzy PID control strategy has better effect on the automatic leveling system used in railway rescue crane.

Simulation Analysis of Electro-Pneumatic Proportional Fuzzy-PID Control System Based on AMESim/Simulink

2014 ◽  
Vol 945-949 ◽  
pp. 2568-2572
Author(s):  
Si Yuan Wang ◽  
Guang Sheng Ren ◽  
Pan Nie
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Simulation Analysis ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Proportional Control ◽  
Fuzzy Pid Controller ◽  
Design Requirements ◽  
Set Up

The test rig for hydro-pneumatic converter used in straddle type monorail vehicles was researched, and its electro-pneumatic proportional control system was set up and simulated based on AMESim/Simulink. Compared fuzzy-PID (Proportion Integral Derivative) controller with PID controller through fuzzy logic tool box in Simulink, the results indicate that, this electro-pneumatic proportional control system can meet design requirements better, and fuzzy-PID controller has higher accuracy and stability than PID controller.

scholarly journals Fuzzy-PID controller for an energy efficient personal vehicle: Two-wheel electric skateboard

2019 ◽  
Vol 9 (6) ◽  
pp. 5312
Author(s):  
Bambang Sumantri ◽  
Eko Henfri Binugroho ◽  
Ilham Mandala Putra ◽  
Rika Rokhana
Keyword(s):  
Energy Consumption ◽  
Pid Control ◽  
Energy Efficient ◽  
Pid Controller ◽  
Electric Energy ◽  
Fuzzy Pid ◽  
Electrical System ◽  
Fuzzy Pid Control ◽  
Electric Energy Consumption ◽  
Fuzzy Pid Controller

The two-wheeled electric skateboard (TWS) is designed for a personal vehicle. A Fuzzy-PID control strategy is designed and implemented for controlling its motion. Basically, motions control of the TWS is performed by balancing the pitch position of the TWS. Performance of the designed controller is demonstrated experimentally. The Fuzzy algorithm updates the PID gains and therefore it can handle the changing of the TWS load. Contribution of Fuzzy-PID in reducing the electric energy consumption, which is an important issue in electrical system, is also evaluated. The Fuzzy-PID successes to reduce the electric energy consumption of the TWS compared to the conventional PID.

Fuzzy PID and Contour Tracking as Applied to Position Control of a Pneumatic Gantry Robot

2013 ◽  
Author(s):  
James Waldie ◽  
Brian Surgenor ◽  
Behrad Dehghan
Keyword(s):  
Pid Controller ◽  
Position Control ◽  
Fuzzy Controller ◽  
Fuzzy Pid ◽  
Pid Algorithm ◽  
Fuzzy Pid Controller ◽  
Future Work ◽  
Fuzzy Pd ◽  
Gantry Robot ◽  
Fuzzy Adaptive

In previous work, the performance of PID plus an adaptive neural network compensator (ANNC) was compared with the performance of a novel fuzzy adaptive PID algorithm, as applied to position control of one axis of a pneumatic gantry robot. The fuzzy PID controller was found to be superior. In this paper, a simplified non-adaptive fuzzy algorithm was applied to the control of both axes of the robot. Individual step results are first shown to confirm the validity of the simplified fuzzy PID controller. The fuzzy controller is then applied to a sinuosoidal tracking problem with and without a fuzzy PD tracking algorithm. Initial results are considered to be very promising. Future work requires developing an adaptive version of the controller in order to demonstrate robustness relative to changing tracking frequencies and changing supply pressures.

Application of Hybrid Fuzzy-PID Control with Coupled Rules in the Hydraulic Positioning System

2012 ◽  
Vol 220-223 ◽  
pp. 402-405
Author(s):  
Li Hong Dong
Keyword(s):  
Fuzzy Logic ◽  
Hydraulic System ◽  
Pid Controller ◽  
Fuzzy Logic Controller ◽  
Fast Response ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Positioning Control ◽  
Fuzzy Pid Controller ◽  
Hybrid Fuzzy Pid

According to the nonlinearity and time-variation of the positioning control in hydraulic system, a kind of Hybrid Fuzzy-PID Controller with Coupled Rules (HFPIDCR) is proposed. In this control system, the bulk modulus is considered as a variable. The novelty of this controller is to combine the fuzzy logic and PID controllers in a switching condition. Simulation results of the HFPIDCR are compared with the results of traditional PID, Fuzzy Logic Controller (FLC), and Hybrid Fuzzy-PID Controller (HFPID). It is demonstrated that the HFPIDCR has fast response, short adjustment time, high control precision and other advantages, and it can meet the requirements of the positioning control in hydraulic system.

Steam Pressure of Foaming Machine of Fuzzy PID Control and Simulation

2012 ◽  
Vol 531-532 ◽  
pp. 726-731
Author(s):  
Yue Hua Xiong ◽  
Chun Liang Zhang ◽  
Bai Xiang Fu
Keyword(s):  
Pid Controller ◽  
Controller Design ◽  
Dynamic Performance ◽  
Steam Pressure ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Tuning Method ◽  
Fuzzy Pid Controller ◽  
Pid Controller Design ◽  
High Control

This paper focus on designing a fuzzy PID controller design about the vapor pressure of the EPE foaming machine parameters, and raise a self-tuning method of PID parameters, and use the fuzzy control toolbox of MATLAB to simulate its control system, which are compared with the simulation of conventional PID controller, the results show the design of fuzzy PID controller have high control precision, small overshoot, good dynamic performance characteristics.

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