Book ChapterDOI
Development and Analysis of a PID Controller and a Fuzzy PID
Morelva Saeteros,Wilman Paucar,Cristian Molina,Gustavo Caiza +3 more
- pp 143-154
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TLDR
The experimental results show the robustness of the Fuzzy PID, because it improves the response of the system and its parameters are tuned automatically according to the state of the process, thus enhancing the performance of theSystem.Abstract:
This document presents the development of a Proportional Integral Derivative (PID) and a Fuzzy-PID, for the control of the level of the MPS PA plant, which is constituted by industrial sensors and actuators. The mathematical model and the parameters of the system were obtained using the software the MATLAB environment using a STM32F4 card. The experimental results show the robustness of the Fuzzy PID, because it improves the response of the system and its parameters are tuned automatically according to the state of the process, thus enhancing the performance of the system. Besides, the conventional PID controller requires an adjustment of its parameters to operate in an optimal for each change of variable, and it does not respond efficiently to disturbances.read more
Citations
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Proposal of a Systemic Model for Integration of Strategic Planning in Corporate Level with Balanced Scorecard
Book ChapterDOI
Monitoring and Control System for Energy Harvesting IoT Applications
TL;DR: In this paper , the design and implementation of a monitoring system for a hybrid energy harvesting device based on the Internet of Things (IoT), with the purpose of acquiring real-time data to be visualized in a metrics representation platform using cloud computing.
Book ChapterDOI
Real-Time Target Tracking Based on Airborne Vision
Dongxu Zhang,Hongwei Gao +1 more
TL;DR: Yolov3-tiny detection algorithm is used to achieve target recognition, this algorithm combines accuracy and speed very well, and is easy to transplant as discussed by the authors, in order to further improve the control performance, fuzzy adaptive proportion integration differentiation (PID) control algorithm was used in this system to complete the UAV tracking of the car, the accuracy reached more than 90%, and the detection speed reached 30FPS, the tracking effect is good, and it can dynamically adapt to external changes.
References
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Book ChapterDOI
Fundamentals of Fuzzy Logic Control — Fuzzy Sets, Fuzzy Rules and Defuzzifications
TL;DR: A review of the fundamentals of fuzzy sets, fuzzy rules and fuzzy inference systems is provided in this chapter and the different defuzzification techniques and their processes are discussed with the same example step by step.
Proceedings ArticleDOI
A modified PID control with adaptive fuzzy controller applied to DC motor
TL;DR: The results show that, the adaptive fuzzy tuned PID controller provides better dynamic behavior of DC motor with low rise time, low settling time, minimum overshoot and low steady-state error in speed and thus provides superior performance.
Journal ArticleDOI
The Application of Fuzzy Control in Water Tank Level Using Arduino
TL;DR: This paper analyzes the effectiveness of a fuzzy logic control using a low-cost controller applied to a water level control system and gives aLow-cost hardware solution and practical procedure for system identification and control.
Proceedings ArticleDOI
Developing CPPS within IEC-61499 based on low cost devices
TL;DR: This work presents a low-cost embedded architecture capable of providing process data by means of OPC-UA services, integrated as IEC61499 blocks, which provides high-level capabilities by combining easily software components with independence of the hardware platform used.
Proceedings ArticleDOI
Implementation of Fuzzy-PID Controller to Liquid Level System using LabVIEW
TL;DR: From the simulation results, it is observed that fuzzy-PID controller gives the superior performance than the other controllers, and the absolute error of fuzzy-pID controller is 56.6% less than PID controller and 55.6%" less than the fuzzy controller.