This study developed a hybrid self-organizing fuzzy and radial basis-function neural-network controller (HSFRBNC) for active suspension systems. The HSFRBNC uses a radial basis function neural-network to adjust the learning rate and the weighting distribution of a self-organizing fuzzy controller (SOFC) in real time, as an alternative to obtain these parameters through trial and error. Therefor...

To advance the active safety performance for vehicles, especially in extreme conditions, an rear steering (ARS) control system is designed this paper. A driver model established to simulate driving behaviour of a human who charge front control. In ARS system, sliding mode predictive (SMPC) approach applied controller design based on 3 degrees freedom (DoF) nonlinear vehicle model. design, four ...

This paper presents a novel control approach used in shunt active power filter based on variable structure control combined with Random PWM technique (RVSC) that provides robust, fast, and more favorable performance for active power filter. This control strategy is compared with two other strategies to show the effectiveness of the introduced methods; pulse width modulated proportional-integral...

This paper presents a novel fuzzy control scheme applied to shunt active power filters for harmonic and reactive power compensation. A TSK type fuzzy logic controller is proposed for APF reference current generation. To control the maximum switching frequency of the converter within limit a novel fuzzy hysteresis band current controller is used. The band height, based on fuzzy control principle...

This paper deals with the implementation of new proposed strategy for the reduction in the transient time of shunt active filter using intelligent controllers. Intelligent control is a class of control techniques that use various AI computing approaches like fuzzy logic, neural network, evolutionary computation, genetic algorithm etc. The proposed strategy works on the principle of energy of th...

A simple robust yaw controller for the nonlinear single-track model is designed, making use of active di erential and active roll control systems. Robustness is studied for uncertainties in several model parameters, namely the vehicle longitudinal velocity, the road adherence coe cients and the hand wheel angle. Constructive nonlinear dynamics are employed for the controller design. The control...

This paper uses a quarter model of an automobile having passive and semiactive suspension systems to develop a scheme for an optimal suspension controller. Semi-active suspension is preferred over passive and active suspensions with regard to optimum performance within the constraints of weight and operational cost. A fuzzy logic controller is incorporated into the semi-active suspension system...