Control System Of Semi-active Suspension With Self-powered And Self-sensing Magnetorheological Damper

Self-powered and self-sensing magnetorheological (MR) damper integratesself-powered module and self-sensing module based on the traditional MR damper; theself-powered module is used for energy recovering and the self-sensing module is usedfor vibration signal monitoring. The self-powered and self-sensing MR damper ishelpful to simplify the magnetorheological semi-active suspension, reduce the energyconsumption, improve the system reliability, reduce the cost and enhance theself-adaptive ability. The research on the semi-active suspension control system withself-powered and self-sensing has important theoretical significance and engineeringvalue.This thesis mainly researches the semi-active suspension control system withself-powered and self-sensing MR damper. The model of self-powered and self-sensingMR damper and the dynamic model of full car suspension have been established, thenthe sliding mode observation for suspension state has been designed, and the controlstrategies for semi-active suspension and energy distribution have been researched atlast. This thesis mainly contains the following contents:(1) Establishing the model of self-powered and self-sensing MR damper. Themodified Bouc-Wen parametric model and RBF neural network non-parametric directand reverse models have been researched; the RBF neural network reverse model,which is used as the control model of MR damper, has been identified and validatedwith the random road input. The energy recovering and the electromagnetic reverseforce have been researched, and the model of magnetoelectric relative displacementself-sensing has been established.(2) Establishing the dynamic model of semi-active suspension with self-poweredand self-sensing MR damper, and designing the sliding mode observation forsuspension state. The random road inputs for four wheels and the full car suspensionmodel of seven-degree have been established. The sliding mode observation based onthe suspension deformation self-sensing has been designed for monitoring the othersuspension state vectors precisely, which proved the necessary condition for thefull-state feedback control on semi-active suspension with self-powered andself-sensing MR damper.(3) Researching the strategies for semi-active suspension control and energy distribution with self-powered and self-sensing MR damper. The control strategies forsemi-active suspension have been researched and simulated in Matlab/Simulink, thehardware-in-loop simulation based on the dSPACE has been also processed. Thestrategy for energy distribution has been proposed and validated by simulating afteranalyzing the energy recovering and consumption.