- 期刊
Manipulator Tracking Control based on DHP Algorithm
摘要
The manipulator system is a multi-input, multi-output nonlinear system, its pose output accuracy is unstable, and there is a certain tracking error with the given signal. To improve the tracking accuracy of the manipulator system, by analyzing the BP neural network, combining the nonlinear factors of the manipulator system and the real-time requirements of its control, a neural network control method based on the DHP algorithm is proposed and applied to the control of the manipulator system Designing. Simulation experiments show that the proposed controller can track the given trajectory well, and is suitable for real-time control of the robotic arm system.
參考文獻
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