scholarly journals Morpheus Lander Roll Control System and Wind Modeling

2015 ◽  
Author(s):  
Elisabeth A. Gambone
Keyword(s):  
Control System ◽  
Roll Control ◽  
Wind Modeling

Improvement in the rollover stability of a liquid-carrying articulated vehicle via a new robust controller

2016 ◽  
Vol 231 (3) ◽  
pp. 322-346 ◽  
Author(s):  
Mohammad Amin Saeedi ◽  
Reza Kazemi ◽  
Shahram Azadi
Keyword(s):  
Control System ◽  
Sliding Mode Control ◽  
Dynamic Model ◽  
Sliding Mode ◽  
Degree Of Freedom ◽  
Roll Control ◽  
Mode Control ◽  
Active Steering ◽  
Articulated Vehicle ◽  
Active Roll Control

In this paper, in order to improve the roll stability of an articulated vehicle carrying a liquid, an active roll control system is utilized by employing two different control methods. First, a 16-degree-of-freedom non-linear dynamic model of an articulated vehicle is developed. Next, the dynamic interaction of the liquid cargo with the vehicle is investigated by integrating a quasi-dynamic liquid sloshing model with a tractor–semitrailer model. Initially, to improve the lateral dynamic stability of the vehicle, an active roll control system is developed using classical integral sliding-mode control. The active anti-roll bar is employed as an actuator to generate the roll moment. Next, in order to verify the classical sliding-mode control performance and to eliminate its chattering, the backstepping method and the sliding-mode control method are combined. Subsequently, backstepping sliding-mode control as a new robust control is implemented. Moreover, in order to prevent both yaw instability and jackknifing, an active steering control system is designed on the basis of a simplified three-degree-of-freedom dynamic model of an articulated vehicle carrying a liquid. In the introduced system, the yaw rate of the tractor, the lateral velocity of the tractor and the articulation angle are considered as the three state variables which are targeted in order to track their desired values. The simulation results show that the combined proposed roll control system is more successful in achieving target control and reducing the lateral load transfer ratio than is classical sliding-mode control. A more detailed investigation confirms that the designed active steering system improves both the lateral stability of the vehicle and its handling, in particular during a severe lane-change manoeuvre in which considerable instability occurs.

Experimental evaluation of a roll control system for a shrouded cone.

1973 ◽  
Vol 10 (6) ◽  
pp. 362-368
Author(s):  
BILLY W. MARSHALL ◽  
AMADO A. TRUJILLO
Keyword(s):  
Control System ◽  
Experimental Evaluation ◽  
Roll Control

Roll Control Techniques on Magnetic Suspension Systems

1967 ◽  
Vol 18 (1) ◽  
pp. 22-42 ◽  
Author(s):  
M. J. Goodyer
Keyword(s):  
Control System ◽  
Wind Tunnel ◽  
Magnetic Suspension ◽  
Magnet System ◽  
Supersonic Wind Tunnel ◽  
Control Techniques ◽  
Roll Control ◽  
Suspension Systems ◽  
The Moment ◽  
Magnetic Balance

SummaryThe various methods which axe available for controlling the rolling motions of a model suspended in an electro-magnet system are discussed. Data on the moment capability and damping achieved with some of the possible control techniques are presented, together with details of the roll control system adopted for the six-component magnetic balance which has been developed at Southampton University for an 8 in × 6 in supersonic wind tunnel.

Fuzzy Logic Controller Designing of an Active Roll Control System for Medium and Large Size Vehicles

2011 ◽  
Vol 110-116 ◽  
pp. 4845-4855 ◽  
Author(s):  
Peiman Hajishafieiha
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Logic Controller ◽  
Roll Angle ◽  
Torsional Stiffness ◽  
Roll Control ◽  
Large Size ◽  
Handling Characteristics ◽  
Active Roll Control ◽  
Roll Axis

The roll / ride trade-off is a long-standing challenge to vehicle dynamicists. Achieving better ride performance almost inevitably leads to increased roll of the vehicle. This roll motion, mostly induced by maneuvering, leads to undesirable handling characteristics and subsequently higher risk of rollover. This paper analyses the use of an Active Roll Control (ARC) system with a Fuzzy Logic Controller (FLC) for improving the handling without sacrificing the ride comfort. The logic for reducing the roll angle of the vehicle is to have some forces exerted by linear actuators on the suspension system, depending on the velocity and steering angle of the vehicle. These forces create a moment about the roll axis which decreases the roll angle. The proposed Fuzzy logic controller is a feedback controller which outputs the correcting roll moment about the roll axis. The effects of employing such a control system are evaluated through computer simulation. Torsional stiffness of the chassis is then taken into consideration to account for unique properties of large-size vehicles. Simulation results with Fuzzy logic controller are very promising and show that the roll performance is significantly improved compared to the vehicle without ARC.

Optimal design for robust control parameter for active roll control system: a fuzzy approach

2017 ◽  
Vol 24 (19) ◽  
pp. 4575-4591 ◽  
Author(s):  
Hao Sun ◽  
Ye-Hwa Chen ◽  
Han Zhao ◽  
Shengchao Zhen
Keyword(s):  
Control System ◽  
Robust Control ◽  
Optimal Design ◽  
Ride Comfort ◽  
Initial Conditions ◽  
Dynamic Performance ◽  
Control Design ◽  
Uniform Boundedness ◽  
Roll Control ◽  
Active Roll Control

In this paper, we investigate the dynamical model of an active roll control system (ARCS) which can impose an anti-roll moment quickly by active actuators to prevent a vehicle rolling when the vehicle generates the roll tendency and effectively enhances the vehicle dynamic performance without sacrificing ride comfort. In the dynamic model of the ARCS, we consider the sprung mass of the vehicle which is (possibly) time-varying and the initial conditions are the uncertain parameters which are described by fuzzy set theory. A new optimal robust control which is deterministic and is not the usual if–then rules-based control is proposed. The desired controlled system performance is twofold: one deterministic, which includes uniform boundedness and uniform ultimate boundedness, and one fuzzy, which enhances the cost consideration. We then formulate an optimal design problem associated with the control as a constrained optimization problem. The resulting control design is systematic and is able to guarantee the deterministic performance and minimize the average fuzzy performance. Numerical simulations show that the control design renders the ARCS practically stable and achieves constraints following maneuvering.

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