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Related Concept Videos

PI Controller: Design01:24

PI Controller: Design

Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
PID Controller01:19

PID Controller

Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires careful...
Electro-mechanical Systems01:19

Electro-mechanical Systems

Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
PD Controller: Design01:26

PD Controller: Design

In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...

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Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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An integrated controller-estimator technique for vector control and speed estimation in PMSM drive.

Ashly Mary Tom1, J L Febin Daya2

  • 1School of Electrical Engineering, Vellore Institute of Technology, Chennai Campus, Chennai, India.

Scientific Reports
|May 29, 2026
PubMed
Summary

This study introduces an integrated sensorless vector control for permanent magnet synchronous motor (PMSM) drives. The new method enhances speed tracking and reduces system complexity and cost.

Keywords:
Current controllerPermanent magnet synchronous motor (PMSM)Speed estimationVector controlαβ-axes

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Area of Science:

  • Electrical Engineering
  • Control Systems Engineering
  • Power Electronics

Background:

  • Surface permanent magnet synchronous motors (PMSMs) are widely used in various applications due to their high efficiency and power density.
  • Conventional sensorless vector control methods often involve separate functions for field-oriented control (FOC) and speed estimation, leading to increased complexity.
  • The need for speed sensors in traditional PMSM drives adds to the cost, size, and potential failure points of the system.

Purpose of the Study:

  • To develop an improved sensorless vector control technique for PMSM drives by integrating controller and estimator functions.
  • To eliminate the need for speed sensors by estimating motor speed and rotor position using only current sensor feedback.
  • To simplify the control configuration and reduce the overall complexity and cost of the PMSM drive system.

Main Methods:

  • An integrated controller and estimator technique is proposed, operating in a stationary reference frame (αβ) system.
  • Field-Oriented Control (FOC) and speed estimation are performed simultaneously using αβ-currents, rather than separate dq-currents.
  • The proposed method utilizes only current sensor feedback for both current control and motor parameter estimation.

Main Results:

  • The integrated approach successfully estimates motor speed and rotor position from αβ-currents, eliminating the need for a speed sensor.
  • Simulation and real-time performance assessment using an Opal-RT configuration demonstrate the effectiveness of the proposed control strategy.
  • The proposed method achieves improved speed tracking and performance metrics compared to conventional control techniques.

Conclusions:

  • The integrated controller and estimator technique offers a simplified and cost-effective solution for sensorless PMSM drives.
  • This approach reduces circuitry, controller complexity, computing load, and overall system cost.
  • The study validates the proposed technique's effectiveness for speed control applications, showing enhanced transient response and speed tracking capabilities.