An adaptive control of two wheel inverted pendulum robot based on particle swarm optimization
Research on two wheel inverted pendulum (TWIP) robot become an interest of many researcher due to its highly nonlinearity characteristic. TWIP offers extensive research diversity from modeling to control method. In control engineering, tuning of TWIP, which is a linear time invariant (LTI) system, h...
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my.utm.455452017-08-29T03:48:19Z http://eprints.utm.my/id/eprint/45545/ An adaptive control of two wheel inverted pendulum robot based on particle swarm optimization Shamsudin, Mohamad Amir Ibrahim, Zuwairie Nawawi, Sophan Wahyudi Husain, Abdul Rashid Abdulla, Jameel Mukred, Ahmad Research on two wheel inverted pendulum (TWIP) robot become an interest of many researcher due to its highly nonlinearity characteristic. TWIP offers extensive research diversity from modeling to control method. In control engineering, tuning of TWIP, which is a linear time invariant (LTI) system, has been well studied. In contrast, this paper emphasizes on time variant system of TWIP. Particle swarm optimization (PSO) is employed for adaptive tuning of the TWIP. To avoid instable problem due to wide search space area used, integral absolute error (IAE) mesh is considered, which is important to ensure that the region where TWIP operates is stable and optimal. Simulation result shows the effectiveness of the proposed approach in enabling online PSO tuning scheme. 2011 Conference or Workshop Item PeerReviewed Shamsudin, Mohamad Amir and Ibrahim, Zuwairie and Nawawi, Sophan Wahyudi and Husain, Abdul Rashid and Abdulla, Jameel and Mukred, Ahmad (2011) An adaptive control of two wheel inverted pendulum robot based on particle swarm optimization. In: Proceedings Of The 5th International Conference On Automation, Robotics And Applications. http://dx.doi.org/10.1109/ICARA.2011.6144873 |
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Research on two wheel inverted pendulum (TWIP) robot become an interest of many researcher due to its highly nonlinearity characteristic. TWIP offers extensive research diversity from modeling to control method. In control engineering, tuning of TWIP, which is a linear time invariant (LTI) system, has been well studied. In contrast, this paper emphasizes on time variant system of TWIP. Particle swarm optimization (PSO) is employed for adaptive tuning of the TWIP. To avoid instable problem due to wide search space area used, integral absolute error (IAE) mesh is considered, which is important to ensure that the region where TWIP operates is stable and optimal. Simulation result shows the effectiveness of the proposed approach in enabling online PSO tuning scheme. |
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Conference or Workshop Item |
author |
Shamsudin, Mohamad Amir Ibrahim, Zuwairie Nawawi, Sophan Wahyudi Husain, Abdul Rashid Abdulla, Jameel Mukred, Ahmad |
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Shamsudin, Mohamad Amir Ibrahim, Zuwairie Nawawi, Sophan Wahyudi Husain, Abdul Rashid Abdulla, Jameel Mukred, Ahmad An adaptive control of two wheel inverted pendulum robot based on particle swarm optimization |
author_facet |
Shamsudin, Mohamad Amir Ibrahim, Zuwairie Nawawi, Sophan Wahyudi Husain, Abdul Rashid Abdulla, Jameel Mukred, Ahmad |
author_sort |
Shamsudin, Mohamad Amir |
title |
An adaptive control of two wheel inverted pendulum robot based on particle swarm optimization |
title_short |
An adaptive control of two wheel inverted pendulum robot based on particle swarm optimization |
title_full |
An adaptive control of two wheel inverted pendulum robot based on particle swarm optimization |
title_fullStr |
An adaptive control of two wheel inverted pendulum robot based on particle swarm optimization |
title_full_unstemmed |
An adaptive control of two wheel inverted pendulum robot based on particle swarm optimization |
title_sort |
adaptive control of two wheel inverted pendulum robot based on particle swarm optimization |
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2011 |
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http://eprints.utm.my/id/eprint/45545/ http://dx.doi.org/10.1109/ICARA.2011.6144873 |
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