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High Performance Both in Low-Speed Tracking and Large-Angle Swing Scanning Based on Adaptive Nonsingular Fast
Yuanchao Wang1,2,3, Yongming Yang1,2, Haipeng Kuang1,2
1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.
This study introduces an adaptive nonsingular fast terminal sliding mode control (ANFTSMC) for three-axis universal inertially stabilized platforms (UISP). The ANFTSMC strategy enhances performance in low-speed tracking and large-angle scanning under disturbances and saturation.
Area of Science:
- Control Systems Engineering
- Robotics
- Mechatronics
Background:
- Three-axis universal inertially stabilized platforms (UISP) face challenges in simultaneous low-speed video tracking and large-angle swing scanning.
- Practical engineering applications require robust control strategies that handle uncertain disturbances and input saturation.
Purpose of the Study:
- To propose an adaptive nonsingular fast terminal sliding mode control (ANFTSMC) strategy for UISPs.
- To improve control performance, accuracy, and robustness in demanding applications.
- To develop a control method that does not require prior knowledge of disturbance bounds.
Main Methods:
- A second-order dynamic model for the UISP was established, incorporating uncertain disturbances and input saturation.
- A nonsingular fast terminal sliding mode controller (NTSMC) was designed for finite-time convergence.
- A novel reaching law using a modified normal distribution function was developed to adjust control gain.
- An adaptive control law was implemented for online estimation of lumped uncertain disturbances.
- Lyapunov theory was used to prove the stability of the control system.
Main Results:
- The proposed ANFTSMC strategy demonstrated accelerated convergence and reduced chattering.
- The method achieved superior control accuracy and robust performance in both low-speed tracking and large-angle swing scanning.
- Simulations and experiments validated the effectiveness and superiority of the ANFTSMC approach.
Conclusions:
- The ANFTSMC strategy offers significant improvements for UISP performance in complex engineering applications.
- The adaptive nature and reduced model dependency enhance its practical applicability.
- This control method provides a valuable solution for enhancing the capabilities of inertially stabilized platforms.
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