scholarly journals Humanoid Robot: Design and Fuzzy Logic Control Technique for Its Intelligent Behaviors

10.5772/37188 ◽  
2012 ◽  
Author(s):  
Elmer P. ◽  
Jazper Jan C. Biliran ◽  
Ron-Ron G. ◽  
D. Johnson ◽  
Adranne Rachel B. Valenci
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Humanoid Robot ◽  
Control Technique ◽  
Robot Design ◽  
Logic Control

scholarly journals DESIGN AND DEVELOPMENT OF FAST CHARGING BATTERY USING FUZZY LOGIC CONTROL TECHNIQUE

2019 ◽  
Vol 1 (1) ◽  
pp. 19
Author(s):  
Muhammad Nizam ◽  
Naji Abdalaziz Ali
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Cycle Performance ◽  
Control Technique ◽  
Battery Life ◽  
Battery Charger ◽  
Control Techniques ◽  
Logic Control ◽  
Battery Chargers ◽  
Fast Charging

<span lang="EN-US">Battery charging is an important issue when it is associated with battery life and cycle performance. The aim of this research is to design and promote fast battery chargers using fuzzy logic control techniques (FLC) for LiFePO4 batteries have been developed. The proposed charger is controlled by voltage and current to activate the PWM duty. The results show that the proposed battery charger has the potential to accelerate charging up to 37% at the rate when charging 2C. This means it is faster than the existing filling. The charger proposed by the FLC method is also capable of charging LiFePO4 batteries with greater efficiency, which is 82%. It can be concluded that the FLC application method has better performance than the CC-CV method</span>

A Comparative Study of Neural Network and Fuzzy Logic Control Based Active Shunt Power Filter for 400 Hz Aircraft Electric Power System

2020 ◽  
pp. 96-107
Author(s):  
Saifullah Khalid
Keyword(s):  
Neural Network ◽  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Electric Power System ◽  
Control Technique ◽  
Active Power Filters ◽  
Power Filter ◽  
Power Filters ◽  
Logic Control ◽  
Choice Of Technique

Constant Instantaneous Power Control Strategy for extracting reference currents for shunt active power filters have been modified using Artificial Neural Network & Fuzzy logic control based controller and their performances have been compared. The acute analysis of Comparison of the compensation capability based on THD and speed will be done, and recommendations will be given for the choice of technique to be used. The simulated results using MATLAB model are shown, and they will undoubtedly prove the importance of the proposed control technique of aircraft shunt APF.

scholarly journals Voltage and Frequency Control of Balanced/Unbalanced Distribution System Using the SMES System in the Presence of Wind Energy

Electricity ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 205-224
Author(s):  
Hossam S. Salama ◽  
Istvan Vokony
Keyword(s):  
Fuzzy Logic ◽  
Wind Energy ◽  
Distribution System ◽  
Fuzzy Logic Control ◽  
High Performance ◽  
Control Method ◽  
Magnetic Energy ◽  
Frequency Control ◽  
Control Technique ◽  
Logic Control

This paper presents an effective solution to overcome the problem caused by intermittent energy sources that are connected to a balanced/unbalanced distribution system using a superconducting magnetic energy storage (SMES) system by mitigating the voltage and frequency fluctuations during wind gusts. The fuzzy logic control technique (FLC) is used with SMES to improve the voltage and frequency. A squirrel cage induction generator (SCIG) is applied as the wind energy generator. The IEEE 33-bus distribution system is used to validate the proposed method. Buses 18 33 are the weakest points in this system; thus, the wind and SMES systems are connected to the system at these buses. We used MATLAB/Simulink to simulate the performance of the IEEE 33-bus system (balanced/unbalanced) considering the SMES, wind system, and fuzzy logic control (FLC). The simulation results show the high performance of the proposed control method to alleviate the voltage and frequency fluctuation and achieve the power leveling strategy of the studied system.

scholarly journals Fuzzy Logic Control of a Humanoid Robot on Unstable Terrain

2015 ◽  
pp. 202-213 ◽  
Author(s):  
Chris Iverach-Brereton ◽  
Jacky Baltes ◽  
Brittany Postnikoff ◽  
Diana Carrier ◽  
John Anderson
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Humanoid Robot ◽  
Logic Control
Sign in / Sign up

Export Citation Format

Share Document