Lagrangian Equation for 2D Systems & Electrical Circuits | NPTEL

Added:

2D Systems Intro
Deriving EOMs
Spring Pendulum Example
Electrical Equivalence
Circuit-Mechanical Analogy
External Forces
Inverted Pendulum
Final Equations

2D Systems Intro

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Playing Section
  • 1

    Extends Lagrangian mechanics to two spatial dimensions.

  • 2

    Demonstrates with a spring-coupled mass system on a plane.

Basic concepts of Lagrangian mechanics, specifically the definition of the Lagrangian (L = T - V) and the fundamental Euler-Lagrange equation.
Fundamentals of classical mechanics, including kinetic energy, potential energy, coordinate systems, and degrees of freedom in 2D space.
Basic electrical circuit theory, particularly how energy is stored in inductors (magnetic/kinetic analogy) and capacitors (electrostatic/potential analogy).
Multivariable calculus and ordinary differential equations, specifically partial differentiation, total time derivatives, and solving second-order ODEs.
Hamiltonian mechanics, exploring how the formulation transitions from configuration space (generalized coordinates and velocities) to phase space (coordinates and conjugate momenta).
Incorporating dissipative forces, such as friction in mechanical systems and resistance in electrical systems, using the Rayleigh dissipation function.
Control theory and stabilization design (e.g., LQR or PID control) for highly non-linear, underactuated systems like the inverted pendulum.
Electromechanical coupling, applying unified Lagrangian frameworks to model complex mechatronic systems like electric motors, sensors, and piezoelectric actuators.
23.2K views124likes55:24@iitOriginal Release: 2010-01-15

The Lagrangian equation (L = T - V) provides a systematic method to derive differential equations for mechanical systems by defining generalized coordinates, kinetic energy (T), and potential energy (V), then applying the Euler-Lagrange equations (d/dt(∂L/∂q̇) - ∂L/∂q = 0). This approach extends to two-dimensional systems, electrical circuits (where charge replaces position, inductance replaces mass, and capacitance replaces spring constant), and systems with external forces (where force is incorporated as -Fq in the potential energy). The method simplifies complex coupled systems, such as the inverted pendulum, by automatically handling constraints and coordinate transformations.