Prediction based DC servo control system in robotic arm
- 4 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Two approaches to the accurate trajectory control of a robotic arm with payload are presented. One is the fixed parameter algorithm and the other is the self-tuning algorithm. Both methods use an ARMA (autoregressive moving average) process model. In the first method the model is fixed and in the second the model parameters are tuned online. These techniques are based on long-range position prediction and can easily be implemented in real-time systems because of their simplicity. Simulation results of a one-degree-of-freedom DC motor servo system indicate that these algorithms, especially the self-tuning one, are effective for position control of a robotic arm.Keywords
This publication has 2 references indexed in Scilit:
- Robust tracking control based on long range predictionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Generalized predictive control—Part I. The basic algorithmAutomatica, 1987