Search Results

A proposal of fault detection using Linear Parameter Varying (LPV) systems is experimentally validated on embedded systems. The fault detection system is oriented to faulty sensors and / or actuators. The study case is a Quarter of Vehicle (QoV) with suspension using a controllable shock absorber which uses a SkyHook controller. The experimental testbed uses Hardware-in-the-Loop (HiL) to validate the approach. The HiL is an automotive Electronic Control Unit (ECU), and the QoV model is embedded in a Field-Programmable Gate Array (FPGA). Results exhibit the effectiveness of the approach which is consistent with numerical simulation. These results open the application of LPV approaches to commercial vehicles since it is easy of implementation for several features such as, low computation load, lumped parameter model and available for nonlinear dynamic systems.

A comparative analysis between three different semi-active suspension control techniques in a full vehicle model of a pick-up truck is presented. Each independent corner of the vehicle uses a Magneto-Rheological (MR) damper model. The MR damper model includes nonlinearities, hysteresis, and transient response between the manipulation and actuation. The damper model parameters have been obtained from experimental data provided from a BWI™ MR damper. Different tests were used to evaluate the semi-active control strategies by using the CarSim® software. The evaluated controllers, which are based on switching manipulation between the low and high damping force, are: 1) the hybrid controller, 2) Mix 1-sensor (Mix-1) and 3) Frequency Estimation-Based (FEB) controller. These selected controllers share the next features: the use of few sensors, free of models, and they do not require anti-saturation mechanisms.