Real Time Control Method Based on Fuzzy Logic for Autogenous Mill Power

2009 ◽  
Author(s):  
Chong Liu ◽  
Hui Long ◽  
Yao Geng Tang
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Control Method ◽  
Real Time Control ◽  
Time Control

Theory of Temperature Dynamic Control in Arch Dams and its Application

2012 ◽  
Vol 594-597 ◽  
pp. 738-741 ◽  
Author(s):  
Yin Duan ◽  
Xing Hong Liu ◽  
Xiao Lin Chang
Keyword(s):  
Real Time ◽  
Temperature Control ◽  
Control Method ◽  
Dynamic Control ◽  
Arch Dam ◽  
Real Time Control ◽  
New Techniques ◽  
Time Dynamic ◽  
Arch Dams ◽  
Time Control

Main factors of the temperature control and crack prevention in arch dams are summarized. The Space-time Dynamic Control method in pipe cooling process and the Temperature Real-time Control and Decision Database System are introduced to help for temperature real-time control and rapid analysis. Successful application of these new techniques in the construction of Dagangshan arch dam indicates that the proposed method are of significant effectiveness on the temperature control and crack prevention, and have good application prospect in practical project.

Fuzzy logic-based real-time control for a twin-rotor MIMO system using GA-based optimization

2018 ◽  
Vol 15 (2) ◽  
pp. 192-204 ◽  
Author(s):  
Arpit Jain ◽  
Satya Sheel ◽  
Piyush Kuchhal
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Mimo System ◽  
System Optimization ◽  
Mathematical Function ◽  
Real Time Control ◽  
Content Type ◽  
Time Control ◽  
Non Linear System ◽  
Twin Rotor

Purpose The purpose of this paper is to study the application of entropy based optimized fuzzy logic control for a real-time non-linear system. Optimization of the fuzzy membership function (MF) is one of the most explored areas for performance improvement of the fuzzy logic controllers (FLC). Conversely, majority of previous works are motivated on choosing an optimized shape for the MF, while on the other hand the support of fuzzy set is not accounted. Design/methodology/approach The proposed investigation provides the optimal support for predefined MFs by using genetic algorithms-based optimization of fuzzy entropy-based objective function. Findings The experimental results obtained indicate an improvement in the performance of the controller which includes improvement in error indices, transient and steady-state parameters. The applicability of proposed algorithm has been verified through real-time control of the twin rotor multiple-input, multiple-output system (TRMS). Research limitations/implications The proposed algorithm has been used for the optimization of triangular sets, and can also be used for the optimization of other fussy sets, such as Gaussian, s-function, etc. Practical implications The proposed optimization can be combined with other algorithms which optimize the mathematical function (shape), and a potent optimization tool for designing of the FLC can be formulated. Originality/value This paper presents the application of a new optimized FLC which is tested for control of pitch and yaw angles in a TRMS. The performance of the proposed optimized FLC shows significant improvement when compared with standard references.

On the Application of Fuzzy Logic in the Design of Supervisors for Real-Time Control Systems

1997 ◽  
Vol 30 (23) ◽  
pp. 9-14
Author(s):  
A. Fernández ◽  
M. Marcos ◽  
F. Artaza ◽  
N. Iriondo ◽  
D. Orive
Keyword(s):  
Fuzzy Logic ◽  
Control Systems ◽  
Real Time ◽  
Real Time Control ◽  
Time Control

Joint Self-Tuning With Cartesian Setpoints

1986 ◽  
Vol 108 (2) ◽  
pp. 146-150 ◽  
Author(s):  
P. G. Backes ◽  
G. G. Leininger ◽  
Chun-Hsien Chung
Keyword(s):  
Real Time ◽  
Control Method ◽  
Hybrid Control ◽  
Pole Placement ◽  
Real Time Control ◽  
Time Control ◽  
Self Tuning ◽  
Cause Of Error ◽  
Time Position ◽  
Manipulator Control

A joint coordinate self-tuning manipulator control method is presented which uses Cartesian setpoints. The method is capable of both position and hybrid control. Position and force errors are transformed from Cartesian coordinates to position and force errors at the joints. The position and force errors at each joint are combined into one hybrid error that is eliminated using pole-placement self-tuning. Real time position and hybrid control results are given. No prior knowledge of manipulator or load dynamics is required and real time control results show that the goal of consistent control with changing load dynamics is achieved. The major cause of error in position and hybrid control is the large friction effects in the joints.

scholarly journals Optimisation of a fuzzy logic-based local real-time control system for mitigation of sewer flooding using genetic algorithms

2019 ◽  
Vol 22 (2) ◽  
pp. 281-295 ◽  
Author(s):  
S. R. Mounce ◽  
W. Shepherd ◽  
S. Ostojin ◽  
M. Abdel-Aal ◽  
A. N. A. Schellart ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Control Algorithm ◽  
Expert Knowledge ◽  
Economic Losses ◽  
Rainfall Time Series ◽  
Real Time Control ◽  
Spare Capacity ◽  
Time Control ◽  
Drainage Networks

Abstract Urban flooding damages properties, causes economic losses and can seriously threaten public health. An innovative, fuzzy logic (FL)-based, local autonomous real-time control (RTC) approach for mitigating this hazard utilising the existing spare capacity in urban drainage networks has been developed. The default parameters for the control algorithm, which uses water level-based data, were derived based on domain expert knowledge and optimised by linking the control algorithm programmatically to a hydrodynamic sewer network model. This paper describes a novel genetic algorithm (GA) optimisation of the FL membership functions (MFs) for the developed control algorithm. In order to provide the GA with strong training and test scenarios, the compiled rainfall time series based on recorded rainfall and incorporating multiple events were used in the optimisation. Both decimal and integer GA optimisations were carried out. The integer optimisation was shown to perform better on unseen events than the decimal version with considerably reduced computational run time. The optimised FL MFs result in an average 25% decrease in the flood volume compared to those selected by experts for unseen rainfall events. This distributed, autonomous control using GA optimisation offers significant benefits over traditional RTC approaches for flood risk management.

Model based real-time control of sewer system using fuzzy-logic

1997 ◽  
Vol 36 (8-9) ◽  
pp. 343-347 ◽  
Author(s):  
L. Fuchs ◽  
T. Beeneken ◽  
P. Spönemann ◽  
C. Scheffer
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Control Device ◽  
Real Time Control ◽  
Sewer System ◽  
Rule Based ◽  
The Real ◽  
Time Control ◽  
Set Up ◽  
Final System

This paper describes the use of the sewer model HYSTEM-EXTRAN in combination with a rule based control device using fuzzy-logic to simulate the real-time control of a sewer system. The rules for the control of the system were set up with the help of optimization procedures. The advantage of the procedure is proved by comparing the uncontrolled versus the controlled state in a simulated mode for an existing sewer system. The final system was installed and tested within the sewer system.

SPC-Based Real-Time Control Method for CNC Machining Quality

2010 ◽  
Vol 42 ◽  
pp. 263-267
Author(s):  
Xin Long Kang ◽  
Dong Man Yu ◽  
Xue Ling Yang ◽  
Di Wang
Keyword(s):  
Real Time ◽  
High Precision ◽  
Control Method ◽  
Cnc Machining ◽  
Machining Process ◽  
Real Time Control ◽  
The Real ◽  
Machining Quality ◽  
Time Control ◽  
Process System

This paper presents the methods and applications for the real-time control of CNC machining process quality in detail and clarifies the objectives of SPC for CNC machining, in order to enhance the understanding of the factors that cause instability to process system. Also, this paper adopts the methods and procedures for SPC to effectively serve the production of high-precision products for enterprises, in order to meet customers’ requirements and expectations.

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