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Road humps are considered as one of the best design propositions to control running vehicle speeds, in many roads they are randomly installed depending on the resident's requirements. In this paper, Genetic Algorithm (GA) optimization technique is used to design an active suspension based on force cancellation concept when the vehicles crossing road humps. A longitudinal half vehicle model is used to represent passenger's car and truck models. These models are used to evaluate the performance of active suspension over the road speed humps. The force cancellation concept is employed to isolate the force between the sprung and unsprung mass. Virtual damper and skyhook damper concepts are also used for reducing the sprung mass acceleration and tire dynamic loads. GA is adopted to obtain the better coefficients of a virtual damper and a skyhook damper for its effective searching ability.

Magnetorheological (MR) fluid dampers are the most promising devices for practical vibration control applications because they have many advantages such as mechanical simplicity, high dynamic range, low power requirements, large force capacity and robustness. This paper aims to study the dynamical behavior of a linear MR fluid damper through experiments. Also, an efficient and simple model is developed to identify the damping force as a function of the damper velocity, acceleration and applied voltage to the magnetic coil, without using any complicated mathematical or differential equations, which will be very useful for large and complicated applications. The identified parameters of the MR damper are obtained using trial-and-error methodology. The validation is done using the dynamical behaviour of MR damper for both experimentation and simulation, by solving the modified Bouc-Wen (M B-W) model that can predict the dynamical behavior of MR dampers accurately.