Design of a magnetorheological (MR) suspension damper for an agricultural tractor seat based on an adaptive neuro-fuzzy inference system (ANFIS) and active disturbance rejection control (ADRC)

Abstract

To enhance the vibration isolation functionality of the seat suspension system, particularly in the context of magnetorheological (MR) seat dampers, a pioneering semi-active controller integrating an adaptive neuro-fuzzy inference system (ANFIS) and active disturbance rejection control (ADRC) was devised. Firstly, the Bouc-Wen model was employed to establish the dynamic model of the damper based on experimental data, thereby ensuring an accurate description of the actual physical behaviours. Subsequently, the ANFIS technology was employed to develop an inverse model, which detailed the structural design and training process of the inverse model. This resulted in the achievement of precise prediction and control of the damper behaviour. Ultimately, the ANFIS inverse model was integrated with the designed ADRC controller to create an innovative control scheme for the seat suspension system of a two-degrees-of-freedom dynamic model, and a simulation analysis was conducted. The simulation results demonstrate that the root-mean-square (rms) value of the vertical vibration acceleration of the ADRC-controlled suspension system decreased by 68.9 % and 34.4 % in comparison to proportional-integral-derivative (PID) control and passive control, respectively. The rms value of the dynamic disturbance of the ADRC-controlled suspension system decreased by 50.0 % and 28.6 % compared to PID control and passive control, respectively. This verifies the performance of the proposed controller, particularly in the precise control of damping force, demonstrating outstanding effectiveness.