ANFIS – Hybrid Reference Control for Improving Transient Response of Controlled Systems Using PID Controller

Abstract

The standard PID controller is known to have performance limitations as it must trade off the transient response performance and the disturbance attenuation level. The paper proposes a hybrid reference control (HRC) with adaptive neuro-fuzzy inference system (ANFIS) to improve transient response performance of PID controller. The ANFIS is used to manipulate the set-point of the PID controller in a specific manner such that the transient response is improved by learning from experimental data. In this structure, the ANFIS-HRC deals with the achieving good transient response performance, whereas the PID controller stabilizes the closed loop system and defines the disturbance attenuation level. As a result, the transient response performances and the disturbance attenuation can be designed independently.