Related Experiment Video
Updated: May 11, 2026
06:45
Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
Published on: October 28, 2022
Stable adaptive PI control for permanent magnet synchronous motor drive based on improved JITL technique
Shiqi Zheng1, Xiaoqi Tang, Bao Song
1Huazhong University of Science & Technology, Wuhan, China.
ISA Transactions
|May 11, 2013
Summary
A new adaptive PI control strategy using improved just-in-time learning (IJITL) enhances permanent magnet synchronous motor (PMSM) drive performance. This method offers accurate system identification and stable control with reduced computational load.
Area of Science:
- Control Systems Engineering
- Electrical Engineering
- Robotics
Background:
- Permanent magnet synchronous motors (PMSMs) are crucial in modern drives.
- Traditional control methods face challenges in real-time adaptation and stability.
- Online identification and adaptive control are key for PMSM performance.
Purpose of the Study:
- To propose a stable adaptive PI control strategy for PMSM drives.
- To introduce an improved just-in-time learning (IJITL) technique for efficient online system identification.
- To ensure system stability using a supervisory controller that mitigates approximation errors.
Main Methods:
- Developed an improved just-in-time learning (IJITL) technique with reduced computational burden for PMSM system identification.
- Designed a discrete-time adaptive PI controller with online gain tuning via gradient descent.
- Implemented a supervisory controller to guarantee system stability in the Lyapunov sense.
Main Results:
- The IJITL technique demonstrated accurate online identification of the PMSM drive system.
- The adaptive PI controller achieved favorable tracking performance.
- Experimental results validated the proposed control strategy's effectiveness and stability.
Conclusions:
- The proposed stable adaptive PI control strategy based on IJITL offers a computationally efficient and effective solution for PMSM drives.
- The integration of IJITL and a supervisory controller ensures robust and stable system operation.
- This approach advances PMSM control by enhancing adaptability and performance in real-time applications.
Related Concept Videos
01:24PI 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...
01:27Time 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...
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires careful...
01:07Time-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...
Consider the example of control of motor torque. Initially, a positive...
01:19PID 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...
01:26PD 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,...
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
01:13Torque On A Current Loop In A Magnetic Field
The most common application of magnetic force on current-carrying wires is in electric motors. These consist of loops of wire, which are placed between the magnets with a magnetic field. When current flows through the loops, the magnetic field applies torque, which causes the shaft to rotate, thus converting electrical energy to mechanical energy.
Consider a rectangular current-carrying loop containing N turns of wire, placed in a uniform magnetic field. The net force on a current-carrying loop...
Consider a rectangular current-carrying loop containing N turns of wire, placed in a uniform magnetic field. The net force on a current-carrying loop...