A New Adaptive Fuzzy Logic Controller Configuration for Control Systems Design

ABSTRACT A new adaptive configuration of fuzzy logic controller (FLCh) based on the hyperbolic function is introduced to improve the performance of control systems. The presented configuration is named adaptive because its input scaling factors (SFs) are dynamically changed while the controller is servicing. This is accomplished by employing two hyperbolic functions with tunable slope and magnitude parameters to act on the input error signal and its derivative nonlinearly. The efficacy of our proposal is explored on a classical PID type FLC (C‐PID‐FLCh) and the controller parameters are simultaneously tuned using the stochastic fractal search (SFS) algorithm for proper functioning. Extensive simulations are conducted to assess the performance of the presented control scheme. A comparison study is also realised against the existing solutions to prove the true contribution of the work. The results show that thanks to the transient change in input SFs, the C‐PID‐FLCh exhibits faster yet nonoscillatory behaviour with reference to the reported schemes. The presented configuration does not cause major changes as far as the structure of the classical FLC is concerned, evolving C‐PID‐FLCh as a potential contender in control systems design.