Funnel tracking control for nonlinear servo drive systems with unknown disturbances.
Shubo Wang1, Siqi Li2, Qiang Chen3
1School of Automation, Qingdao University, and Shanodng Key Laboratory of Industrial Control Technology, Qingdao, 266071, China.
This study introduces a robust tracking control strategy for servo drive systems, ensuring precise performance despite unknown disturbances. The novel approach guarantees minimal tracking errors and effective disturbance rejection for improved system reliability.
Area of Science:
- Control Systems Engineering
- Robotics and Automation
Background:
- Servo drive systems are crucial in automation but susceptible to unknown disturbances and sensor noise.
- Existing control strategies often struggle to maintain precise tracking performance under such conditions.
Purpose of the Study:
- To develop a novel robust tracking control strategy for servo drive systems.
- To guarantee tracking error within a prescribed boundary despite unknown disturbances.
- To reduce sensor noise for enhanced control performance.
Main Methods:
- A modified funnel variable was defined and integrated into the control design.
- A robust integral of the sign of the error (RISE) controller was developed.
- Desired compensation technique was incorporated to mitigate sensor noise.
- Lyapunov stability theory was used for system convergence analysis.
Main Results:
- The proposed controller theoretically guarantees asymptotic tracking control performance.
- The strategy effectively rejects bounded disturbances.
- Sensor noise reduction was achieved.
- Numerical and experimental validation confirmed the controller's efficacy.
Conclusions:
- The novel robust tracking control strategy effectively enhances servo drive system performance.
- The approach provides guaranteed tracking accuracy and disturbance rejection.
- This method offers a reliable solution for demanding servo drive applications.
More Related Videos
09:01Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
Published on: April 4, 2017
10:51An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
Published on: March 10, 2011
Related Concept Videos
Feedback control systems
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Time-Domain Interpretation of PD Control
Consider the example of control of motor torque. Initially, a positive...
Second Order systems I
By reinterpreting the system, one can derive the closed-loop transfer function, which...
Open and closed-loop control systems
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
PD Controller: Design
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
Linear Approximation in Frequency Domain
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
