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IMAT3406 Fuzzy Logic Week 10. Fuzzy Logic Applications. Fuzzy Logic Applications Digital Fuzzy Processor Omron was the first to launch a controller employing fuzzy logic for improved control and tuning Production of the world's fastest digital fuzzy processor (DFP) in 1990.
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IMAT3406 Fuzzy LogicWeek 10 Fuzzy Logic Applications
Fuzzy Logic Applications Digital Fuzzy Processor Omron was the first to launch a controller employing fuzzy logic for improved control and tuning Production of the world's fastest digital fuzzy processor (DFP) in 1990. Reasoning speed of 10 MFLIPS (1 Million Fuzzy Logic Inferences per second)
Input Variables for Fuzzy Logic Traffic Signal Controller Maximum Queue Length (in metres): the distance in metres from the stop-line over which vehicles have queued Average Occupancy Rate (%): percentage of time that the detection area was occupied by one or more vehicles. Output Variable for the Controller Weight[0, 100]: the degree of green traffic signal requirement Applications of Fuzzy Logic to Traffic Signal Control (Budi Yulianto, “Application of fuzzy logic to traffic signal control under mixed traffic conditions”, tec, October 2003, pp:332-335) Improvement (up to) 25% in average travel time
Rule Table/Matrix for Traffic Signal Control Maximum Queue Length Average Occupancy Rate L: Low, VL: Very Low, VVL: Very Very Low, M: Medium, H: High, VH: Very High, VVH: Very Very High
More fuzzy logic applications use fuzdemos MATLAB function • Ball Juggler • Water Tank (Water Level Control) • Controlling cart and pole • Controlling ball and beam • Backing truck Live Demo
Fuzzy Washing MachineCamera AutofocusServo Motor Force ControlGlass Melting Furnace ControlAir Conditioner ControlReactor ControlCAR Automatic TransmissionsDisc Drive Spindle ServosFuzzy Automated ManufacturingTwo-Stage Inverted Pendulum More fuzzy logic applicationshttp://www.aptronix.com/fuzzynet/index.htm
Fuzzy Washing Machine Fuzzy Controller for Washing Machine
Fuzzy Logic applications in Bio-Health Informatics • Intelligent Detection of abnormal neonatal cerebral heomodynamics • Cancer prognosis • Gene identification and gene network modelling
DOPPLER ULTRASOUND UNIT SIGNAL PROCESSING UNIT FEATURE EXTRACTION UNIT Neuro-Fuzzy System for Detection Intelligent Detection of abnormal neonatal cerebral heomodynamics • Normal baby • Baby with severe birth asphyxia
Cancer prognosis Neuro-Fuzzy Rule Based System Decision on Prognosis
Gene identification and gene network modelling List of genes associated with diseases/condition Fuzzy System Gene networks
Fuzzy Logic Applications in MATLAB • You can see a list of the applications in Fuzzy Logic Toolbox’s Demo. You will be shown a couple of them in the lecture. However, you are advised to go through all the applications provided in the toolbox’s demo • They can be found at Help/Full Product Family Help/Demos/Toolboxes/Fuzzy Logic