Development of Servo Drive Positioning Control System Using PID Controller and Fuzzy Logic Controller

2021 ◽  
Vol 26 (6) ◽  
pp. 583-588
Author(s):  
Zaw Myo Naing ◽  
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Pid Controller ◽  
Fuzzy Logic Controller ◽  
Position Control ◽  
Settling Time ◽  
Fuzzy Pid ◽  
Servo Drive ◽  
Positioning Control ◽  
Fuzzy Pid Controller

Servo drives are one of the most widely utilized devices in various mechanical systems and industrial applications to provide precise position control. The study of servo driver produc-tiveness and performance index is the important task. In this work, PID controller and fuzzy log-ic controller (FLC) were developed to control the position of a DC servo drive. The MATLAB Simulink program was investigated and implemented to calculate the values of servo drive pa-rameters, and a scheme for simulating the operation of a servo drive using different controllers was presented. A mathematical model of a DC servo drive for a positioning control system has been proposed. The control characteristics of the PID controller, fuzzy logic controller and fuzzy PID controller are compared. The simulation results have shown that the PID controller allows for an overshoot of about 1 % with a settling time of about 4 sec. The use of the fuzzy PID con-troller reduces the maximum overshoot to 1 % and decreases the settling time to 2 sec. As a re-sult, the fuzzy PID controller allows for better performance and efficiency compared to other controllers.

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.

scholarly journals The fuzzy-PID based-pitch angle controller for small-scale wind turbine

2020 ◽  
Vol 11 (1) ◽  
pp. 135
Author(s):  
Quang-Vi Ngo ◽  
Chai Yi ◽  
Trong-Thang Nguyen
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Wind Turbine ◽  
Pitch Angle ◽  
Pid Controller ◽  
Fuzzy Logic Controller ◽  
Small Scale ◽  
Fuzzy Pid ◽  
Proportional Integral Derivative ◽  
Fuzzy Pid Controller

<p>This paper aims to design the pitch angle control based on proportional–integral–derivative (PID) controller combined with fuzzy logic for small-scale wind turbine systems. In this control system, the pitch angle is controlled by the PID controller with their parameter is tuned by the fuzzy logic controller. This control system can compensate for the nonlinear characteristic of the pitch angle and wind speed. A comparison between the fuzzy-PID-controller with the conventional PID controller is carried out. The effectiveness of the method is determined by the simulation results of a small wind turbine using a permanent magnet generator (PMSG).</p>

scholarly journals Effect of fuzzy PID controller on feedback control systems based on wireless sensor network

2020 ◽  
Vol 10 (3) ◽  
pp. 2416
Author(s):  
Anas A. Hussien ◽  
Mehdi J Marie ◽  
Khalaf S. Gaeid
Keyword(s):  
Control System ◽  
Wireless Sensor Network ◽  
Feedback Control ◽  
Sensor Network ◽  
Pid Controller ◽  
Position Control ◽  
Angular Position ◽  
Wireless Sensor ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller

Wireless Networked control system (WNCS) has an important in all aspects of the life and in the research fields of Engineering. In this article, a real-time implementation of the wireless feedback control system (WFCS) is performed. The stability issue in the closed-loop control system still suffer from noise, disturbances, and need careful considerations to handle it. Three cases to discover the ability of a Fuzzy PID controller to maintain better angular position control system (PCS) is addressed and controlled by a personal computer through a wireless sensor network(WSN) constructed by ZigBee platforms. The practical issues related with the design and implementation of the wireless computerized control system (WCCS) is discussed and analyzed. The simulation results carried out with Matlab/Simulink 2018b. Different parameters effect such as maximum overshoot, sampling frequency, distance and delay time have been studied. These effects on overall system performance would be discussed. Improving the efficient use of ZigBee platform for WFCS. The simulation and experimental results prove the proposed algorithm in the field of wireless control system.

Study of Vice-Steering Control System for Training Car

2011 ◽  
Vol 142 ◽  
pp. 79-82
Author(s):  
Wei Chun Zhang ◽  
Bing Bing Ma ◽  
Xian Bin Du ◽  
Bao Hao Pei ◽  
Jie Chen
Keyword(s):  
Mathematical Model ◽  
Fuzzy Logic ◽  
Control System ◽  
Dynamic Characteristics ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Fuzzy Pid ◽  
Steering Control ◽  
Fuzzy Pid Controller ◽  
System A

Based on analyzing the structure and dynamic characteristics of this system, a dynamical mathematical model is established. To overcome the problems when using fuzzy controller or PID controller respectively and increase precision, a P-fuzzy-PID mode controller and a fuzzy PID controller is designed to control the system. The module of simulink which is a part of MATLAB is used to construct a monolithic mould. The fuzzy logic toolbox is used to construct a fuzzy mould. The results of simulation show that the performance of control becomes better by using this design.

Research of Control Strategy Based on the Electro-Hydraulic Proportion Position Control System

2013 ◽  
Vol 819 ◽  
pp. 238-243
Author(s):  
Yin Fa Zhu ◽  
Bing Bing Chen
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Position Control ◽  
The Self ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Self Tuning ◽  
Position Control System

The self-tuning fuzzy PID controller of the electro-hydraulic proportion position control system is designed and researched. Compared the self-tuning fuzzy PID control with the traditional PID control through experiments for the track effect on sinusoidal signals, the results show that the self-tuning fuzzy PID controller has higher accuracy and better stability. It is a more excellent performance controller.

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