Browse Topic: Springs

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A hybrid fuzzy and proportional-integral-derivative (PID) controller is proposed for roll angle handling of a three-axle truck with an active air suspension system. The conventional truck suspension system has four air springs for the rear wheels and two leaf springs for the front wheels, which cannot properly control the pitch angle, and here in this study is upgraded into front air springs. Therefore in the full air suspension system, the pitch angle is controlled by the active suspension system. Roll reduction of a heavy vehicle can improve the ride comfort and rollover tendency of the truck, simultaneously. The relation of air spring pressures and vehicle dynamics is developed in a simple and accurate model. Using this comprehensive model, it is possible to control the variables of vehicle dynamics such as roll, pitch, and height of the truck. The truck air suspension system is examined in step steering, fishhook, and asymmetric rough road (types E and G power spectral density [PSD
Nazemian, HosseinMasih-Tehrani, Masoud
This work focuses on steps towards the ability to use tight coupling between computation fluid dynamics (CFD) and rotorcraft comprehensive analysis (CSD) to predict aeroelastic stability of a rotor. First, the Rotorcraft Comprehensive Analysis System (RCAS) analysis is used to carry out traditional linear stability analysis. Next, a method of using trim springs to artificially increase the stability of the wing so that a periodic solution during the RCAS trim procedure is presented. RCAS is then used to complete time-integrated transient analysis using a lifting-line aerodynamic model following a system perturbation through a vertical force located at the wing tip. CFD/CSD coupling is used for the first time to simulate a fully-elastic semi-span tiltrotor model. Loose coupling is used to achieve a trimmed solution for a sweep of airspeeds. Tight coupling is used to observe the transient behavior of the system following a perturbation. Low-speed results are promising and clearly
Corle, EthanFloros, MattSchmitz, Sven
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