Showing 3 results for Moavenian
M. Shahab, M. Moavenian,
Volume 2, Issue 2 (4-2012)
Abstract
Vehicle driveline system and its working accuracy play an important role in the performance of car. The purpose of
this study is to provide an appropriate mechanism for investigating, identifying and determining the position and size
of defects in the vehicle power transmission system. This is based on the patterns of the residual signal, obtained from
a simulated model of the system. Neuro-fuzzy networks have been used in diagnosis of defects because of its specific
advantages and capabilities in pattern recognition. Simulation results demonstrate that the resulting fault detection
system is able to properly locate the fault types under all test conditions, and is sensitive also to fault size. Test and
simulation results using MATLAB software is given at the end.
Prof Majid Moavenian, Mr Sina Sadeghi Namaghi,
Volume 9, Issue 1 (3-2019)
Abstract
In order to improve the safety and longitudinal stability of a vehicle equipped with standard ABS system, this paper, analyzes the basic principles of vehicles stability and proposes a control strategy based on fuzzy adaptive control which will adjust PID gain parameters, using genetic algorithm. A linear three-degree-of-freedom (DOF) vehicle model was set up in Simulink and the stability test was conducted utilizing jointly a joint established simulation platform with CarSim.
For controlling the brake length, traditional controllers have difficulty in guaranteeing performance and stability over a wide range of parameter changes and disturbances. Therefore, a 2 level controller by providing a modified Sliding Mode Control (SMC) will be used. Using this approach the flexibility increased and brake length and rotor temperatures decreases significantly. This results improvement of the vehicle’s stability and brakes fatigue lifespan.
Prof Majid Moavenian, Mr Sina Sadeghi Namaghi,
Volume 9, Issue 3 (9-2019)
Abstract
Most of drivers have to compensate small directional deviations from the desired driving path when disturbances such as crosswinds, overtakings, road irregularities and unintended driver inputs are imposed. These types of deviations have a tiring effect on driver and traffic’s safety and should be minimised. To increase the understanding the influence of vehicle’s properties in crosswind and overtaking conditions, specially vans and buses, and improving their safety, the vehicle was modeled using parameters based on real vehicle data for simulation in CarSim program. These parameters were validated or edited by simulation programs such as SOLIDWORKS, ADAMS/CAR ADAMS/CHASSIS and Well-known Calculation Software . A method for estimating the lateral error of vehicle due to original path in crosswind and overtaking conditions is also presented using Multi-Step Taguchi method in MINITAB. Dealing with limited but most effective factors of Vehicle’s Properties instead of large variety of them can be used for optimal vehicle’s design and propose ideal Crosswind Controllers
