Independent Model Generalized Predictive Controller Design for Antilock Braking System

Abstract

Wheel slip control is a significant research topics in the field of car stability. Model predictive control is one of the most advanced controller which has received great attention and application in industries. In this paper independent model generalize predictive control (IMGPC) is introduced for antilock braking system. This controller is implemented on a linear model of anti-lock braking system, and through the numerical simulation, it is demonstrated that it can control the system in presence of sever noise and disturbances. The simulation results show that the proposed controller has better performance in comparison with other conventional linear controllers. General TermsPredictive control, Anti-lock braking system .

Survey on Wheel Slip Control Design Strategies, Evaluation and Application to Antilock Braking Systems

“…The authors of [92] proposed the Independent Model Generalized Predictive (IMGPC) control introduced by Rossiter [93] for ABS control. The control system is tested on a simple linearized quarter-car model (with an unspecified tire model) in the presence of severe disturbances and noise.…”

Robust Nonlinear Fuzzy Formation Control of Unmanned Quadrotors

“…A linear robust H-infinity controller is implemented on the quadrotor, this controller was successfully robust against wind gusts [11]. The main problem in linear control design for quadrotors is their highly nonlinear dynamic; therefore, linear control strategies which are designed based on linearized dynamic have difficulties to handle the system solely [12][13][14][15][16].…”