Abstract
The inverted pendulum is a typical multi-variable and non-linear system. It is hard to improve its performance because of modeling difficulty, parametric uncertainties during actual system operation. Iterative Learning Control (ILC) can achieve perfect tracking or performance when there is model uncertainty or when we have a “blind” system. This paper proposed a modified iterative learning control method to improve the dynamics of the car with an inverted pendulum. Experiment results demonstrated that the proposed method can improve the dynamic performance of the car with an inverted pendulum.
This work was supported by National Natural Science Foundation of China No. 60835001.
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Gao, H., Lu, Y., Mai, Q., Hu, Y. (2009). Inverted Pendulum System Control by Using Modified Iterative Learning Control. In: Xie, M., Xiong, Y., Xiong, C., Liu, H., Hu, Z. (eds) Intelligent Robotics and Applications. ICIRA 2009. Lecture Notes in Computer Science(), vol 5928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10817-4_123
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DOI: https://doi.org/10.1007/978-3-642-10817-4_123
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