The objective of this paper is to compare performance between two type of controller for a double inverted pendulum system. Double inverted pendulum is a non-linear, unstable and fast reaction system. DIP is stable when its two pendulums allocated in vertically position and have no oscillation and movement and also inserting force should be zero. The objective is to determine the control strategy that to delivers better performance with respect to pendulum angle's and cart position. In this paper LQR based fuzzy controller is designed and its performance is compared with Linear Quadratic Regulator controller using Matlab and Simulink. The results shows that LQR based fuzzy controller produced better response as compared to LQR control strategy. Index Terms-double inverted pendulum, LQR, fuzzy control, fusion function Narinder Singh Bhangal has done his B.
Suspension in a vehicle is provided primarily to improve the passenger comfort and road handling to different road conditions. An active suspension is proved to be better than a passive suspension system. Ride comfort can be measured by observing the body acceleration in the vertical direction and vehicle handling performance can be observed by suspension deflection. In this paper, the suspension dynamics are modeled by using 2-degree of freedom linear time invariant quarter car model. The purpose of this paper is to investigate the performance of active suspension system using fuzzy logic controller and linear quadratic regulator controllers in comparison with passive suspension system. The simulation of vehicle performance on road is studied by using MATLAB/SIMULINK. The results shows that both LQR and FLC can effectively control the vibration of the vehicle as compared to passive suspension system. Moreover FLC control method is more effective in reducing the acceleration of sprung mass as compared to LQR control.
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