Determination of optimal hierarchical fuzzy controller parameters according to loading condition with ANN

2008 ◽  
Vol 34 (4) ◽  
pp. 2650-2655 ◽  
Author(s):  
M CANER ◽  
N UMURKAN ◽  
S TOKAT ◽  
S USTUN
Keyword(s):  
Loading Condition ◽  
Fuzzy Controller

Fuzzy Quality Measures for Use in a Hierarchical Fuzzy Controller

2000 ◽  
Author(s):  
Alan Carlson ◽  
Dean B. Edwards ◽  
Michael J. Anderson
Keyword(s):  
Fuzzy Controller ◽  
Structure Optimization ◽  
Quality Measures ◽  
Quality Measure ◽  
Approximate Determination ◽  
Rule Base ◽  
System Parameters ◽  
The Individual ◽  
Monolithic Structure

Abstract This paper presents a control strategy that uses a hierarchical structure to arbitrate between recommendations from lower level modules. The lower level modules represent lower level tasks or behaviors. Each lower level module provides its own control recommendation based on its limited perception of the environment. We introduce the concept of a fuzzy quality measure that may be used by the hierarchical controller to determine how best to fuse the individual recommendations. The Quality Measure provides an approximate determination of each control recommendations potential value. The hierarchical partitioning reduces the cardinality of the rule base and decreases the number of system parameters, as compared to a monolithic structure. Optimization of the reduced parameter set is simpler and requires less time.

Strain Capacity of X70 Pipeline Steel Subjected to Biaxial Loading Condition

2015 ◽  
Author(s):  
Marcelo Paredes ◽  
Tomasz Wierzbicki
Keyword(s):  
Stress State ◽  
Loading Condition ◽  
Biaxial Loading ◽  
Pipeline Steel ◽  
Tensile Load ◽  
Complex Loading ◽  
Loading Mode ◽  
Coulomb Criterion ◽  
Growing Cracks

In this work the tensile capacity of circumferentially pressurized cracked pipes with varying crack parameters and pipe dimensions are numerically investigated. The biaxial loading mode includes internal pressure and tensile load, which are applied in sequence. The present physics-inspired fracture model based upon the original Mohr-Coulomb criterion enables not only the computation of global fracture response of pipe subjected to complex loading condition but also a thorough determination of the local evolving stress state around the growing cracks.

scholarly journals Control of technological processes using a fuzzy controller of the system for management of cargo delivery by railway

2021 ◽  
Vol 20 (3) ◽  
pp. 241-251
Author(s):  
Yurii Statyvka ◽  
Hanna Kyrychenko ◽  
Oleh Strelko ◽  
Yuliia Berdnychenko
Keyword(s):  
Process Management ◽  
Fuzzy Controller ◽  
Service Reliability ◽  
Operational Control ◽  
Technological Processes ◽  
Control Practice ◽  
Cargo Delivery ◽  
Linguistic Representations ◽  
Transportation Organization

Motives: One of the final indicators of service reliability of the transport system is the cargo delivery time, compliance of which is not yet controlled due to the lack of appropriate methods and tools of operational management. The concept of quality of assessment of cargo delivery, namely the reliability of compliance with the time obligations by transportation participants, is associated with the process modeling and the accuracy of determination of the estimated time of completion of each stage of the technological process of cargo delivery. Aim: The purpose of the study is to present the model of a fuzzy controller as a principle of forming of a railway process management system, which is based on the possibility to operate with linguistic representations of elements. Results: A new solution to an important problem is obtained – the formation of managerial influence using a fuzzy controller for management of technological processes of cargo delivery by rail at the current level of requirements for the efficiency of transportation organization. The usage of the offered method provides a solution to the problems of operational control practice in the formation of tools for operational control of technological processes for the railway dispatcher unit.

Equilibrium Configurations of Cantilever Beams Subjected to Inclined End Loads

1992 ◽  
Vol 59 (3) ◽  
pp. 572-579 ◽  
Author(s):  
S. Navaee ◽  
R. E. Elling
Keyword(s):  
Cantilever Beam ◽  
Loading Condition ◽  
Multiple Equilibrium ◽  
Cantilever Beams ◽  
Equilibrium Solutions ◽  
Constant Angle ◽  
Equilibrium Configurations ◽  
Inclination Angles ◽  
Beam Parameters

In this study, equilibrium configurations of a cantilever beam subjected to an end load with constant angle of inclination is investigated. It is shown analytically that if the beam is sufficiently flexible, there are multiple equilibrium solutions for a specific beam and loading condition. A method is also presented for the determination of these deflected configurations. The cantilever beam studied in this research is considered to be initially straight and prismatic in addition to being homogeneous, elastic, and isotropic. The procedure outlined in this paper is utilized to show that for each combination of load and beam parameters, there are certain number of equilibrium configurations for a cantilever beam. The ranges of these combinations, along with some examples of the deflected shapes of the beams, are provided for several load inclination angles.

scholarly journals Critical System Cascading Collapse Assessment for Determining the Sensitive Transmission Lines and Severity of Total Loading Conditions

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Nur Ashida Salim ◽  
Muhammad Murtadha Othman ◽  
Ismail Musirin ◽  
Mohd Salleh Serwan
Keyword(s):  
Transmission Lines ◽  
Loading Condition ◽  
Critical Power ◽  
Maximum Level ◽  
Accurate Calculation ◽  
Critical System ◽  
Hidden Failure ◽  
Average Probability ◽  
Accurate Probability

This paper presents a computationally accurate technique used to determine the estimated average probability of a system cascading collapse considering the effect of hidden failure on a protection system. This includes an accurate calculation of the probability of hidden failure as it will give significant effect on the results of the estimated average probability of system cascading collapse. The estimated average probability of a system cascading collapse is then used to determine the severe loading condition contributing to a higher risk of a system cascading collapse. This information is important because it will assist the utility to determine the maximum level of increase in the system loading condition before the occurrence of critical power system cascading collapse. Furthermore, the initial tripping of sensitive transmission line contributing to a critical system cascading collapse can also be determined by using the proposed method. Based on the results obtained from this study, it was found that selecting the accurate probability of hidden failure is very important as it will affect the estimated average probability of a system cascading collapse. Comparative study has been done with other techniques to verify the effectiveness of the proposed method used in the determination of sensitive transmission lines.

scholarly journals Fuzzy Logic-Based Controller for Bipedal Robot

2021 ◽  
Vol 11 (24) ◽  
pp. 11945
Author(s):  
Khoi Phan Bui ◽  
Hong Nguyen Xuan
Keyword(s):  
Numerical Simulation ◽  
Fuzzy Logic ◽  
Fuzzy Controller ◽  
Fuzzy Rule ◽  
Dynamical Model ◽  
Control Force ◽  
Bipedal Robots ◽  
Bipedal Robot ◽  
Rule System

In this paper, the problem of controlling a human-like bipedal robot while walking is studied. The control method commonly applied when controlling robots in general and bipedal robots in particular, was based on a dynamical model. This led to the need to accurately define the dynamical model of the robot. The activities of bipedal robots to replace humans, serve humans, or interact with humans are diverse and ever-changing. Accurate determination of the dynamical model of the robot is difficult because it is difficult to fully and accurately determine the dynamical quantities in the differential equations of motion of the robot. Additionally, another difficulty is that because the robot’s operation is always changing, the dynamical quantities also change. There have been a number of works applying fuzzy logic-based controllers and neural networks to control bipedal robots. These methods can overcome to some extent the uncertainties mentioned above. However, it is a challenge to build appropriate rule systems that ensure the control quality as well as the controller’s ability to perform easily and flexibly. In this paper, a method for building a fuzzy rule system suitable for bipedal robot control is proposed. The design of the motion trajectory for the robot according to the human gait and the analysis of dynamical factors affecting the equilibrium condition and the tracking trajectory were performed to provide informational data as well as parameters. Based on that, a fuzzy rule system and fuzzy controller was proposed and built, allowing a determination of the control force/moment without relying on the dynamical model of the robot. For evaluation, an exact controller based on the assumption of an accurate dynamical model, which was a two-feedback loop controller based on integrated inverse dynamics with proportional integral derivative, is also proposed. To confirm the validity of the proposed fuzzy rule system and fuzzy controller, computation and numerical simulation were performed for both types of controllers. Comparison of numerical simulation results showed that the fuzzy rule system and the fuzzy controller worked well. The proposed fuzzy rule system is simple and easy to apply.

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