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APPLICATION OF SOFT COMPUTING IN INDUSTRIAL ELECTRONICS Prepared By : An emerging collection of methodologies which aim to exploit the tolerance for Uncertainty Imprecision Partial truth In order to achieve Robustness Tractability Low total cost The core methodologies employed are •Fuzzy systems Logic captures information expressed verbally and permits to perform computations with it. •Neural networks Aspire to mimic human intuitive understanding of complex processes without mathematically modeling them The areas of interest for application include: Vision and pattern Process and recognition ON-LINE FABRIC INSPECTION system control SYSTEM USING NEURAL NETWORKS, FUZZY LOGIC & WAVELETS TO IMPROVE TEXTILE QUALITY Fault diagnosis System identification and modeling FUZZY ANTI-LOCK BRAKE SYSTEM Industrial Data FOR AUTOMOBILE INDUSTRY electronics mining FULLYBiomedical engineering AUTOMATIC WASHING Human machine MACHINES WITH NEURO-FUZZY TECHNIQUES interface Power electronics Robotics ON-LINE FABRIC INSPECTION SYSTEM USING NEURAL NETWORKS, FUZZY LOGIC & WAVELETS TO IMPROVE TEXTILE QUALITY Uses a special lighting Makes use of arrangement and a set of high-speed cameras to scan Advanced vision technology fabric as it winds onto a take- up roll after weaving. A Neural networks computer analyzes the Fuzzy logic information provided by the vision system using to quickly detect defects in fabrics. sophisticated techniques that identify abnormal patterns and determine whether they should be considered defects. Provide information that will help Pinpoint the factors that cause defects. Cut inspection costs Reduce the amount of off-quality production. FUZZY ANTI-LOCK BRAKE SYSTEM FOR AUTOMOBILE INDUSTRY Implemented in automobiles to Electronic control units (ECUs), wheel speed sensors, ensure and brake modulators are major components of an ABS Optimal vehicle control module. Wheel speed sensors transmit pulses to the ECU Minimal stopping distances with a frequency proportional to wheel speed. The ECU then during hard or emergency braking. processes this information and regulates the brake accordingly. Provide information that will help Automatic braking for collision avoidance Adaptive cruise control Chassis control. A typical ABS Block diagram: Developed by: Intel Corporation having technology agreement with Inform Software Corporation FULLY AUTOMATIC WASHING MACHINES WITH NEURO-FUZZY TECHNIQUES Two subsystems of the machine: The sensor system provides external input signals into the the sensor mechanism machine from which decisions can be made. The controller the controller unit. unit makes the decisions and transmits signal to the outside world by some form of output. The design process can be extended to other control variables such as water level and spin speed. Fuzzy controllers are implemented inload-weight, fabric- mix, and dirt sensors which automatically set the wash cycle for the best use of power, water, and detergent. AUTOFOCUSING CAMERA WITH FUZZY CONTROL SYSTEM A charge-coupled device (CCD) to measure the clarity of the image track the rate of change of lens movement during focusing controls the speed to prevent overshoot. INDUSTRIAL AIR CONDITIONER USING NEURO- FUZZY SYSTEM The fuzzy controller heats and cools faster reduces power consumption increases temperature stability SOFT COMPUTING: GLIMPSE INTO THE FUTURE A shift in aims of computing reflects the fact that human mind possesses an ability to process information which is imprecise, uncertain and lacking categoricity.
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