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Control Dynamics and Simulation of Inclined Cart and Pendulum System

Control Dynamics and Simulation of Inclined Cart and Pendulum System

Ashwani Kharola, Pravin P. Patil
Copyright: © 2017 |Volume: 8 |Issue: 2 |Pages: 17
ISSN: 1942-3594|EISSN: 1942-3608|EISBN13: 9781522512844|DOI: 10.4018/IJAEC.2017040105
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MLA

Kharola, Ashwani, and Pravin P. Patil. "Control Dynamics and Simulation of Inclined Cart and Pendulum System." IJAEC vol.8, no.2 2017: pp.73-89. http://doi.org/10.4018/IJAEC.2017040105

APA

Kharola, A. & Patil, P. P. (2017). Control Dynamics and Simulation of Inclined Cart and Pendulum System. International Journal of Applied Evolutionary Computation (IJAEC), 8(2), 73-89. http://doi.org/10.4018/IJAEC.2017040105

Chicago

Kharola, Ashwani, and Pravin P. Patil. "Control Dynamics and Simulation of Inclined Cart and Pendulum System," International Journal of Applied Evolutionary Computation (IJAEC) 8, no.2: 73-89. http://doi.org/10.4018/IJAEC.2017040105

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Abstract

This paper applies various soft-computing control strategies for offline mode control of highly non-linear cart and pendulum system moving on an inclined surface. The surface is considered at inclination of 12° from horizontal. The study compares performance of four different control techniques namely Proportional-integral-derivative (PID), Fuzzy logic, Adaptive neuro fuzzy inference system (ANFIS) and Neural networks for control of proposed system. A Matlab-Simulink model of system has been developed from mathematical equations derived using Newton's second law. The cart and pendulum system has been initially controlled using PID controllers and results were further used to train ANFIS and neural controllers. The ANFIS and fuzzy controllers were designed using three and nine gbell shape membership functions (MFs) respectively. The controllers were further compared in terms of settling time, overshoot and undershoot.

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