Design of an optimal active stabilizer mechanism for enhancing vehicle rolling resistance

Abstract

Improving rollover and stability of the vehicles is the indispensable part of automotive research to prevent vehicle rollover and crashes. The main objective of this work is to develop active control mechanism based on fuzzy logic controller (FLC) and linear quadratic regulator (LQR) for improving vehicle path following, roll and handling performances simultaneously. 3-DOF vehicle model including yaw rate, lateral velocity (lateral dynamic) and roll angle (roll dynamic) were developed. The controller produces optimal moment to increase stability and roll margin of vehicle by receiving the steering angle as an input and vehicle variables as a feedback signal. The effectiveness of proposed controller and vehicle model were evaluated during fishhook and single lane-change maneuvers. Simulation results demonstrate that in both cases (FLC and LQR controllers) by reducing roll angle, lateral acceleration and side slip angles remain under 0.6g and 4° during maneuver, which ensures vehicle stability and handling properties. Finally, the sensitivity and robustness analysis of developed controller for varying longitudinal speeds were investigated.

Energy saving control system development for external lighting

“…The intelligent algorithm embedded in the microcontroller automatically determines the time of transition to the reduced power mode and return from it. EPRA microcontroller calculates the operating time of the luminaire from the moment the power is supplied until the light is turned off, and it saves the obtained value to a non-volatile memory [17][18][19][20][21][22][23][24][25]. To set up the luminaire for energy-saving mode, you need two switches (two nights) at least ( Figure 2).…”

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