Design of a Microcontroller-Based Heating System Controller Using Fuzzy Logic

2021 ◽  
Author(s):  
Furkan Hasan Sakaci ◽  
Suayb Cagri Yener
Keyword(s):  
Fuzzy Logic ◽  
Heating System ◽  
System Controller

scholarly journals Central Heating Cost Optimization for Smart-Homes with Fuzzy Logic and a Multi-Agent Architecture

2020 ◽  
Vol 10 (12) ◽  
pp. 4057
Author(s):  
Diego M. Jiménez-Bravo ◽  
Álvaro Lozano Murciego ◽  
Daniel H. de la Iglesia ◽  
Juan F. De Paz ◽  
Gabriel Villarrubia González
Keyword(s):  
Fuzzy Logic ◽  
Energy Savings ◽  
Fuzzy Controller ◽  
Cost Optimization ◽  
Research Work ◽  
Heating System ◽  
Multi Agent Systems ◽  
Actual System ◽  
Central Heating ◽  
Multi Agent

Recent years have defined the need to reduce gas emissions to fight climate change, and society’s move to green energies is important to make responsible use of non-renewable energies. Therefore, it is now important to use technologies to optimize the use of actual energy sources. In this aspect, the Internet of Things (IoT) technology has had a great impact on society. Hence, this research work aims to use IoT technology and multi-agent systems to optimize the use of central heating installation in buildings. It is intended to improve the user’s comfort, reduce the consumption of energy and reduce the financial costs. Therefore, a multi-agent system is proposed to collect data from sensors located in a smart-home and obtain the best action to perform in a central heating system. The decisions will be taken by an intelligent agent based on fuzzy logic. This technology will allow for generating the control action with a fuzzy controller. The results obtained show that the proposal improves the actual system in terms of users’ comfort and financial and energy savings.

scholarly journals The Tractor-Cart System Controller with Fuzzy Logic Rules

2020 ◽  
Vol 10 (15) ◽  
pp. 5223
Author(s):  
Nadia Delavarpour ◽  
Sulaymon Eshkabilov ◽  
Thomas Bon ◽  
John Nowatzki ◽  
Sreekala Bajwa
Keyword(s):  
Fuzzy Logic ◽  
Hydraulic Drive ◽  
Adaptive Controller ◽  
Boundary Region ◽  
Guidance System ◽  
Crop Damage ◽  
Set Constraints ◽  
Steering Torque ◽  
Control Principle ◽  
System Controller

Post-planting operations (e.g., fertilizing, cover crop planting) with a tractor and towed cart in standing crop (e.g., corn) are challenging. Tractor and cart should be kept within a certain boundary region to avoid crop damage. An automatic guidance system on the tractor is the solution of the issue; however, tractor’s auto-guidance does not guarantee the cart clear and exact following of the tractor. There is insufficient research in automatic control of a towed cart. Therefore, this research was undertaken to design a controller to manage lateral and longitudinal positions of a tractor-towed cart. A novel fuzzy logic based adaptive controller algorithm is proposed to control tractor-cart system steering with additional steering torque for the cart, ensuring that the entire system follows the desired trajectory within the set constraints. A hydraulic drive design for the cart was developed with a control principle to closely follow the tractor’s path and minimize damage to the plants. The proposed steering algorithm and designed controller were validated with interchangeable trajectory patterns via simulations in MATLAB/Simulink. The results demonstrated that the performances of the designed hydraulic drive and the accuracy of the proposed control algorithm were appropriate to steer the towed-cart with minimal damages on plant rows.

scholarly journals Investigations on stability and performance of a varia-ble frequency based fuzzy logic controller for induction cooking system

2017 ◽  
Vol 7 (1.2) ◽  
pp. 15 ◽  
Author(s):  
Pradeep Vishnuram ◽  
Booma Nagarajan ◽  
A. Sureshkumar
Keyword(s):  
Fuzzy Logic ◽  
Power Control ◽  
Fuzzy Logic Controller ◽  
Frequency Control ◽  
Power Level ◽  
Heating System ◽  
Stability Study ◽  
Control Technique ◽  
Stability Range ◽  
Induction Cooking

Load variability and perturbation is an important issue in the induction cooking applications as it hinders the performance of the heating system considerably .Therefore a precise power control technique is required for induction heating applications by considering the stability issues and dynamic response of the system. Also, the safety operating ranges need to be confirmed to ascertain the competency of the controller. In this paper, a Fuzzy logic based power control scheme is introduced by considering the load uncertainties. The suggested power control technique uses variable frequency control of the inverter for reaching the target power level. Also, a detailed stability study is done for investigating stability range within which the system operation is safe and stable. The said work is simulated in MATLAB/Simulink environment and realized as a prototype where advanced FPGA controller renders its hand .The simulation and hardware results reveal that the suggested technique is versatile.

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