Electric Motors: Principles and Applications

This lecture covers the principles and applications of electric motors, focusing on the relationship between current, magnetic fields, induced voltage, and mechanical power. The instructor explains the equations governing motor behavior, the concept of linearity, and the importance of linearization for control systems. The lecture also delves into active suspension systems, emphasizing the use of motors to counteract vibrations in various applications. Additionally, the instructor introduces the convolution integral method for solving differential equations and discusses the Laplace transform for analyzing dynamic systems.

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related lectures (43)

Related concepts (167)

Ce cours inclut la modélisation et l'analyse de systèmes dynamiques, l'introduction des principes de base et l'analyse de systèmes en rétroaction, la synthèse de régulateurs dans le domain fréquentiel

Electric motor

An electric motor is an electrical machine that converts electrical energy into mechanical energy. Most electric motors operate through the interaction between the motor's magnetic field and electric current in a wire winding to generate force in the form of torque applied on the motor's shaft. An electric generator is mechanically identical to an electric motor, but operates with a reversed flow of power, converting mechanical energy into electrical energy.

Brushed DC electric motor

A brushed DC electric motor is an internally commutated electric motor designed to be run from a direct current power source and utilizing an electric brush for contact. Brushed motors were the first commercially important application of electric power to driving mechanical energy, and DC distribution systems were used for more than 100 years to operate motors in commercial and industrial buildings. Brushed DC motors can be varied in speed by changing the operating voltage or the strength of the magnetic field.

Brushless DC electric motor

A brushless DC electric motor (BLDC), also known as an electronically commutated motor, is a synchronous motor using a direct current (DC) electric power supply. It uses an electronic controller to switch DC currents to the motor windings producing magnetic fields that effectively rotate in space and which the permanent magnet rotor follows. The controller adjusts the phase and amplitude of the DC current pulses to control the speed and torque of the motor.

Frequency response

In signal processing and electronics, the frequency response of a system is the quantitative measure of the magnitude and phase of the output as a function of input frequency. The frequency response is widely used in the design and analysis of systems, such as audio and control systems, where they simplify mathematical analysis by converting governing differential equations into algebraic equations.

Dynamical system

In mathematics, a dynamical system is a system in which a function describes the time dependence of a point in an ambient space, such as in a parametric curve. Examples include the mathematical models that describe the swinging of a clock pendulum, the flow of water in a pipe, the random motion of particles in the air, and the number of fish each springtime in a lake. The most general definition unifies several concepts in mathematics such as ordinary differential equations and ergodic theory by allowing different choices of the space and how time is measured.

Sampling Theorem and Control Systems ME-326: Control systems and discrete-time control

Explores the Sampling Theorem, digital control, signal reconstruction, and anti-aliasing filters.

Convolution and Laplace Transform ME-273: Introduction to control of dynamical systems

Explores control of dynamic systems, impulse response, Laplace transform, and Fourier transform for solving differential equations.

Derivative Approximation: Discrete-time Methods ME-326: Control systems and discrete-time control

Covers the principles of derivative approximation in discrete-time systems.

Modeling Dynamic Systems: Definitions and Examples ME-326: Control systems and discrete-time control

Covers the modeling of dynamic systems, including definitions, examples, and linearization processes for easier analysis.

Discrete-Time Systems Analysis ME-326: Control systems and discrete-time control

Explores Z-transform analysis for discrete-time systems and transfer functions in control systems.