Adaptive fuzzy sliding mode controller for a single-stage inverted pendulum

Sliding mode controller (SMC) has become a popular traditional control method in industries due to the most effective strategies employing nonlinear and ability reject disturbances, particularly for line trajectory control. However, this chattering problems high-frequency switching. To cope with shortcoming, an artificial intelligence (AI) is utilized SMC eliminate or reduce problem. This paper investigates adaptive fuzzy logic system combined algorithm alleviate Fuzzy chosen its advantages tackling properties using if-then thinking, whereas can be applied disturbance The inverted pendulum selected as controlled object simulated MATLAB/Simulink investigate method. By combining approach, adaptively reduced on tracking signal. achieved better performance fast response compared previous literature algorithms similar plants.