Real-time implementation of a robust adaptive controller for a robotic manipulator based on digital signal processors

Author(s):  
Sung-Hyun Han ◽  
Man-Hyung Lee ◽  
R.R. Mohler
Author(s):  
Alejandro Rincón ◽  
Fabiola Angulo ◽  
Fredy Hoyos

<p>In this paper, state adaptive backstepping and Lyapunov-like function methods are used to design a robust adaptive controller for a DC motor. The output to be controlled is the motor speed. It is assumed that the load torque and inertia moment exhibit unknown but bounded time-varying behavior, and that the measurement of the motor speed and motor current are corrupted by noise. The controller is implemented in a Rapid Control Prototyping system based on Digital Signal Processing for dSPACE platform and experimental results agree with theory.</p>


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