Publication

Abstract : In this article, we study the machine learning based regression analysis of triple link distributed pendulum (TLDP) under free condition for estimation of natural frequency of each link of the pendulum. The modeling of the triple link pendulum based on Euler-Lagrange technique which is also proposed by Gupta et al. It is observed that the bottom link of the pendulum has higher frequency corresponding to the top and middle pendulum of the link. However, the frequency of the pendulum link increases from top to bottom link with decreases the deviation angle of TLDP. This result is also confirming with different algorithms of the machine learning technique. Real time model has also been developed to verify the frequency analysis of the system. Decision tree regression (DTR) technique estimate better frequency for the top and middle pendulum link. However, random forest regression (RFR) technique is better estimation of frequency the bottom link of the pendulum.