Analysis of Control of Inverted Pendulum using Adaptive Neuro Fuzzy system
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 6
Abstract
Here modeling and simulation study of basically two control strategies of an inverted pendulum system are presented. The inverted pendulum represents a challenging control problem, which continually moves toward an uncontrolled state. Certain modern techniques are now available because of the development of artificial intelligence and soft computing methods. Fuzzy control based learning makes the system more reliable and taking the advantage of precise control at different levels of existence as fuzzy is applicable to non value zero to full value as one, rest of the interim values are also considered [3]. ANFIS is one of an example of fused neuro fuzzy system in which the fuzzy system is incorporated in such a framework which is adaptive in nature [7]. The fuzzy controllers are used to sort out the problem of learning and when the ANFIS is used the adaptability of the system get improves which is based on that learning feature for non-linear system of inverted pendulum model [5].
Authors and Affiliations
D. K. Somwanshi , Mohit Srivastava , Ravindra Panchariya,
Keywords
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