研究目的
To develop a continuous desired compensation adaptive robust control (DCARC) for the TEOGSP systems, focusing on continuous friction compensation and handling modeling uncertainties to achieve precise tracking control.
研究成果
The proposed DCARC controller demonstrates superior performance in terms of transient and final tracking errors compared to other controllers, effectively compensating for nonlinear friction and attenuating unmodeled effects. The use of a continuously differentiable friction model and desired compensation technique facilitates the control gains tuning process and reduces the effect of measurement noise.
研究不足
The study focuses on the TEOGSP system with specific parameters and may require adaptation for other systems. The effectiveness of the proposed controller is verified through comparative experiments but may need further validation in varied operational conditions.
1:Experimental Design and Method Selection:
The study employs a novel continuously differentiable nonlinear friction model modified from the traditional LuGre model for backstepping controller design. A desired compensation version of the adaptive robust controller is proposed for precise tracking control.
2:Sample Selection and Data Sources:
The TEOGSP system, composed of a DC brushed torque motor, gear transmission, and gimbal system, is used as the experimental platform.
3:List of Experimental Equipment and Materials:
Specifications include a motor torque coefficient (KF), motor inertia moment (Jm), gimbal inertia moment (Jl), gear transmission ratio (N), and electromotive force coefficient (KE).
4:Experimental Procedures and Operational Workflow:
The control law involves adaptive robust control (ARC) and desired compensation ARC (DCARC) strategies, with parameters updated via a projection type adaptation law.
5:Data Analysis Methods:
Performance is assessed using maximum tracking error (Me), average tracking error (m), and standard deviation of the tracking error (s).
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