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This comprehensive tutorial covers the critical process of estimating permanent magnet motor parameters for optimal inverter-motor performance. Learn the mathematical foundations and practical methods for determining motor characteristics that manufacturers often don't provide. #NextWorkshop #EarlyBirdDeadline is near, Be sure to register before that date: https://powerelectronicsgroup.com/wor... Chapters: 0:00 - Introduction to Motor Parameter Estimation 1:23 - Key Assumptions and Motor Modeling Basics 4:00 - Self-Inductance, Mutual Inductance & Saliency 8:11 - Surface Mount vs Salient Motor Analysis 12:29 - D-Q Voltage Equations and Flux Linkage 20:24 - Practical Parameter Measurement Methods 28:00 - Temperature Effects and Frölich's Formula 30:07 - Delta vs Star Configuration Discussion 34:22 - PSPICE Motor Model Implementation 42:47 - Complete Simulation Walkthrough What You'll Learn: Understanding motor parameter estimation fundamentals Lq and Ld inductance measurement techniques Magnet flux linkage (Lambda M) calculation methods Saliency effects in surface mount vs IPM motors Current decay method for parameter measurement Temperature and saturation effects on motor parameters Frölich's formula for non-linear parameter modeling PSPICE simulation implementation examples Key Topics Covered: D-Q axis modeling and transformations Self and mutual inductance relationships Flux linkage analysis with visual examples Practical measurement setups for both star and delta configurations Motor characterization across different operating conditions Adaptive control strategies using measured parameters Target Audience: Motor control engineers, power electronics designers, and students working with permanent magnet synchronous motors (PMSM) who need to maximize torque and efficiency through proper parameter identification. This technical deep-dive includes simulation files and practical homework assignments to reinforce the concepts. Essential viewing for anyone developing high-performance motor control systems.Retry