Neural Fuzzy Control of Ball and Beam System

Ashwani Kharola, Pravin P. Patil
<span title="">2017</span> <i title="IGI Global"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/clvw45ctsbfc7hftnw2dzm64oi" style="color: black;">International Journal of Energy Optimization and Engineering</a> </i> &nbsp;
This paper presents an offline control of ball and beam system using fuzzy logic. The objective is to control ball position and beam orientation using fuzzy controllers. A Matlab/Simulink model of the proposed system has been designed using Newton's equations of motion. The fuzzy controllers were built using seven gbell membership functions. The performance of proposed controllers was compared in terms of settling time, steady state error and overshoot. The simulation results are shown with the
more &raquo; ... help of graphs and tables which illustrates the effectiveness and robustness of proposed technique.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4018/ijeoe.2017040104">doi:10.4018/ijeoe.2017040104</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gxsmupbrtbcobjwcwwlt4dkuzi">fatcat:gxsmupbrtbcobjwcwwlt4dkuzi</a> </span>
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