TK342 : Impedance adaptive fuzzy control of an active suspension
Thesis > Central Library of Shahrood University > Electrical Engineering > MSc > 2014
Authors:
Ehsan Hoseini [Author], Mohammad Mehdi Fateh[Supervisor]
Abstarct: A novel control design for an active suspension system of a vehicle is presented by using the concept of impedance in mechanical systems which can control the dynamical behavior of the suspension system subject to road disturbances. The active suspension system is designed for a one –quarter model of vehicle with considering the effects of nonlinearity of the hydraulic actuator. The control design consists of two control loops; the outer loop is a design of desired force while the inner loop is a proportional-integral force control. This research presents the stability analysis of control system and verifies the control method by the stability analysis and simulation results. First, the Adaptive control law is proposed to overcome the parametric uncertainty of suspension system. Adaptive fuzzy control efficiently controls uncertain nonlinear systems. Then, a direct and an indirect adaptive fuzzy control methods are designed to guarantee stability of closed loop system and having a good tracking performance which can overcome the parametric uncertainty. The inputs of fuzzy controller are body’s relocation and velocity signals. Sliding control is the strong scheme for controlling nonlinear and unconditioned system. At last, the sliding control that is a robust control method considered to overcome uncertainty and disturbance. These approaches, provide the passenger comfort when passing a bump and ensure both the passenger comfort and vehicle handling after passing the bump. The proposed approaches are compared with the passive suspension system. Simulation results show the superiority of active suspension system over the passive suspension system in terms of the vehicle handling and passenger comfort.
Keywords:
#Active suspension system;Hydrulic actuator; direct Adaptive Fuzzy Control; Indirect Adaptive Fuzzy Control; Sliding control; Impedance control; Uncertainty; Vehicle handling; passenger comfort. Link
Keeping place: Central Library of Shahrood University
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