MATLAB: Fuzzy Inference System(FIS) and ANFIS

tekijä KartikSheladiya

The task was to develop a fuzzy logic with varying input values corresponding to output, and generate a relation that can be used to determine action to be taken. Matlab's Fuzzy model was used. Sugeno's and MAMDANI's logic were used to generate relations. Concept of striding frequency was implemented to relate results.

image of username KartikSheladiya Flag of India Ahmedabad, India

Tietoa minusta

By profession I am a passionate motor designer and have worked with BLDC(Brushless Direct Current), PMSM Radial(Inrunner and Outrunner) as well as Axial motors(dual stator/rotor) with IPM as well as SPM topology rotors. I have been using the concepts of Magnet Embraces, Halbach array and Reluctance torque in motor designing to have higher performance and efficiency. I am postgraduate CAD/CAM engineer with high proficiency in following: 1. Ansys Maxwell for Motor designing and electromagnetic optimizations and FEA 2. Matlab-Fuzzy Inference System and Adaptive Neuro-FIS. 3. Ansys Workbench, for fatigue, static structural, transient, explicit dynamics and CFD(Computational Fluid Dynamics) FEA predictions 4. Autodesk Inventor and Keyshot for 3D CAD modelling 5. Electronics, PCB design and Manufacturing. 6. Design Spark 7. Plagiarism free Literature Review and Literature Survey. 8. Technical report writing. Can also provide you with a 3D printing solutions for rapid prototyping.

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