Energy saving in the aeration process by fuzzy logic control

1998 ◽  
Vol 38 (3) ◽  
Keyword(s):  
Fuzzy Logic ◽  
Energy Saving ◽  
Fuzzy Logic Control ◽  
Logic Control ◽  
Aeration Process

Energy saving in the aeration process by fuzzy logic control

1998 ◽  
Vol 38 (3) ◽  
pp. 209-217 ◽  
Author(s):  
J. Ferrer ◽  
M. A. Rodrigo ◽  
A. Seco ◽  
J. M. Penya-roja
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Logic Control ◽  
Closed Loop ◽  
Energy Savings ◽  
Average Deviation ◽  
Logic Control ◽  
Aerobic Reactor ◽  
Aeration Process ◽  
The One

An aeration fuzzy logic based control system has been developed and tested in the main aerobic reactor of a BARDENPHO process pilot plant. This system has been compared with two ordinary aeration process controllers: one- and two-aeration-level on/off controllers. Energy savings of about 40% over the one-level on/off controller and a more stable closed-loop response have been obtained. Thus, an improvement of about 60% in average deviation can be accomplished by the use of an AFLBC.

Fuzzy Logic Ventilation Model for Energy-Saving of Highway Tunnel

2014 ◽  
Vol 543-547 ◽  
pp. 4108-4111
Author(s):  
Ming Xiao
Keyword(s):  
Time Series ◽  
Fuzzy Logic ◽  
Time Delay ◽  
Energy Saving ◽  
Fuzzy Logic Control ◽  
Moving Average ◽  
Ventilation System ◽  
Autoregressive Moving Average ◽  
Highway Tunnel ◽  
Logic Control

On the basic analysis of different condition of ventilation, the Autoregressive Moving Average (ARMA) time series is proposed to predict the traffic flow and solve the problem of energy-saving in highway tunnel. ARMA disposes of the non-linearly condition in space and the issue of time-delay. At last, on the combination of project instance, the strategy of fuzzy logic control is confirmed under the platform of ventilation system, meanwhile the feasibility of the model is testified in Energy-saving of highway tunnel.

Energy Saving in a Wastewater Treatment Process: an Application of Fuzzy Logic Control

2005 ◽  
Vol 26 (11) ◽  
pp. 1263-1270 ◽  
Author(s):  
M. Fiter ◽  
D. Güell ◽  
J. Comas ◽  
J. Colprim ◽  
M. Poch ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Wastewater Treatment ◽  
Energy Saving ◽  
Fuzzy Logic Control ◽  
Treatment Process ◽  
Wastewater Treatment Process ◽  
Logic Control

Sistem Kontrol Optimal Fuzzy-Particle Swarm Optimization

2018 ◽  
Vol 9 (1) ◽  
pp. 1-5
Author(s):  
Fachrudin Hunaini ◽  
Imam Robandi ◽  
Nyoman Sutantra
Keyword(s):  
Fuzzy Logic ◽  
Particle Swarm Optimization ◽  
Control System ◽  
Membership Function ◽  
Fuzzy Logic Control ◽  
Particle Swarm ◽  
Optimization Method ◽  
Swarm Optimization ◽  
Motion Error ◽  
Logic Control

Fuzzy Logic Control (FLC) is a reliable control system for controlling nonlinear systems, but to obtain optimal fuzzy logic control results, optimal Membership Function parameters are needed. Therefore in this paper Particle Swarm Optimization (PSO) is used as a fast and accurate optimization method to determine Membership Function parameters. The optimal control system simulation is carried out on the automatic steering system of the vehicle model and the results obtained are the vehicle's lateral motion error can be minimized so that the movement of the vehicle can always be maintained on the expected trajectory

Implementation of Fuzzy Logic Control on Battery Charging System

2019 ◽  
Vol 3 (1) ◽  
pp. 118-126 ◽  
Author(s):  
Prihangkasa Yudhiyantoro
Keyword(s):  
Complex System ◽  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Expert Knowledge ◽  
Experimental Result ◽  
Rule Base ◽  
Battery Charging ◽  
Charging System ◽  
Logic Control ◽  
Charging Control

This paper presents the implementation fuzzy logic control on the battery charging system. To control the charging process is a complex system due to the exponential relationship between the charging voltage, charging current and the charging time. The effective of charging process controller is needed to maintain the charging process. Because if the charging process cannot under control, it can reduce the cycle life of the battery and it can damage the battery as well. In order to get charging control effectively, the Fuzzy Logic Control (FLC) for a Valve Regulated Lead-Acid Battery (VRLA) Charger is being embedded in the charging system unit. One of the advantages of using FLC beside the PID controller is the fact that, we don’t need a mathematical model and several parameters of coefficient charge and discharge to software implementation in this complex system. The research is started by the hardware development where the charging method and the combination of the battery charging system itself to prepare, then the study of the fuzzy logic controller in the relation of the charging control, and the determination of the parameter for the charging unit will be carefully investigated. Through the experimental result and from the expert knowledge, that is very helpful for tuning of the  embership function and the rule base of the fuzzy controller.

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