Design of Fuzzy Logic Missile Guidance Law with Minimal Rule Base

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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SDRE missile guidance law

IEEE ICCA 2010 ◽

10.1109/icca.2010.5524364 ◽

2010 ◽

Cited By ~ 5

Author(s):

Feng Tyan ◽

Jeng Fu Shen

Keyword(s):

Missile Guidance ◽

Guidance Law

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Fuzzy-logic-based CLOS guidance law design

IEEE Transactions on Aerospace and Electronic Systems ◽

10.1109/7.937484 ◽

2001 ◽

Vol 37 (2) ◽

pp. 719-727 ◽

Cited By ~ 8

Author(s):

Chih-Min Lin ◽

Yi-Jen Mon

Keyword(s):

Fuzzy Logic ◽

Guidance Law

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Modelling the system behaviour of wet snow avalanches using an expert system approach for risk management on high alpine traffic roads

Natural Hazards and Earth System Science ◽

10.5194/nhess-5-821-2005 ◽

2005 ◽

Vol 5 (6) ◽

pp. 821-832 ◽

Cited By ~ 27

Author(s):

A. Zischg ◽

S. Fuchs ◽

M. Keiler ◽

G. Meißl

Keyword(s):

Risk Management ◽

Fuzzy Logic ◽

Expert System ◽

Temporal Variability ◽

Hazard Index ◽

Rule Base ◽

Spatial And Temporal Variability ◽

Snow Avalanches ◽

System Behaviour ◽

Wet Snow

Abstract. The presented approach describes a model for a rule-based expert system calculating the temporal variability of the release of wet snow avalanches, using the assumption of avalanche triggering without the loading of new snow. The knowledge base of the model is created by using investigations on the system behaviour of wet snow avalanches in the Italian Ortles Alps, and is represented by a fuzzy logic rule-base. Input parameters of the expert system are numerical and linguistic variables, measurable meteorological and topographical factors and observable characteristics of the snow cover. Output of the inference method is the quantified release disposition for wet snow avalanches. Combining topographical parameters and the spatial interpolation of the calculated release disposition a hazard index map is dynamically generated. Furthermore, the spatial and temporal variability of damage potential on roads exposed to wet snow avalanches can be quantified, expressed by the number of persons at risk. The application of the rule base to the available data in the study area generated plausible results. The study demonstrates the potential for the application of expert systems and fuzzy logic in the field of natural hazard monitoring and risk management.

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Design and Lyapunov Stability Analysis of a Fuzzy Logic Controller for Autonomous Road Following

Mathematical Problems in Engineering ◽

10.1155/2010/578406 ◽

2010 ◽

Vol 2010 ◽

pp. 1-20 ◽

Cited By ~ 2

Author(s):

Yi Fu ◽

Howard Li ◽

Mary Kaye

Keyword(s):

Fuzzy Logic ◽

Stability Analysis ◽

Fuzzy Logic Controller ◽

Fuzzy Controller ◽

Intelligent Vehicles ◽

Intelligent Vehicle ◽

Rule Base ◽

Control Laws ◽

Robotic Vehicle ◽

Road Following

Autonomous road following is one of the major goals in intelligent vehicle applications. The development of an autonomous road following embedded system for intelligent vehicles is the focus of this paper. A fuzzy logic controller (FLC) is designed for vision-based autonomous road following. The stability analysis of this control system is addressed. Lyapunov's direct method is utilized to formulate a class of control laws that guarantee the convergence of the steering error. Certain requirements for the control laws are presented for designers to choose a suitable rule base for the fuzzy controller in order to make the system stable. Stability of the proposed fuzzy controller is guaranteed theoretically and also demonstrated by simulation studies and experiments. Simulations using the model of the four degree of freedom nonholonomic robotic vehicle are conducted to investigate the performance of the fuzzy controller. The proposed fuzzy controller can achieve the desired steering angle and make the robotic vehicle follow the road successfully. Experiments show that the developed intelligent vehicle is able to follow a mocked road autonomously.

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Assessment of the Performance Status of a Wharf

Pomorstvo ◽

10.31217/p.31.1.10 ◽

2018 ◽

Vol 31 (1) ◽

pp. 245-257

Author(s):

Pereowei Garrick Ombor ◽

Thaddeus C. Nwaoha

Keyword(s):

Fuzzy Logic ◽

Statistical Data ◽

Performance Status ◽

Rule Base ◽

Subjective Judgement ◽

The Status ◽

Base Method ◽

Logic Rule ◽

Good Agreement

This paper suggests Fuzzy-logic-rule base method to assess the performance status of a wharf in order to classify it. The method proposed is predicated upon its ability to analyse processes and operations based on subjective judgement with little or no statistical data available. The study also shows that fuzzy-logic rule base is a veritable tool to qualitatively and quantitatively assess the status of a wharf offering ferry service. Using the model developed in this study, the performance status of Yenagoa wharf has been determined to be orange, having a (WPS) overall of 4.8. The status of the wharf has been in good agreement with the perception of stakeholders that the Yenagoa wharf needs restructuring to curb the frequent crisis occurring among stakeholders. The model also indicated those areas of the wharf’s operations needing attention. The study indicates that even though major components that determine the quality and profitability of the wharf’s ferry service are high in value, the overall status of the wharf may not be necessarily high. As such, the study method can be used to control the growing ill-feeling between boat operators and passengers while harmonizing all stakeholders (operators, passengers, and regulators etc) to work together to improve the status of the wharf.

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