2 DOF low cost platform for driving simulator: Modeling and control
Summary (2 min read)
Introduction
- The whole system is considered as a two coupled systems and linked mechanically.
- First conclusion and future works are established.
- The use of driving simulators is increasingly widespread and adopted by various public and private institutions.
- This work was supported by French National Agency of Research (ANR) in the Framework of VIGISIM Project.
- In the rest of this paper the authors present the design, description and modeling aspects of the platform, followed by the experiments that were carried to characterize frequentially the motions.
II. CHOICES’ MOTIVATION OF THE PLATFORM ARCHITECTURE
- The simulator structure and motions based choices are motivated by the necessary needs to have a sufficient perception while riding under financial constraint to make easy the duplication in favor of driving schools and other institutions.
- These inertial effects are to be perceived by the human user for the expected applications which aims to study the effect of yaw component on simulator sickness.
- Because of the importance of accelerating transition motion in vehicle dynamics, the authors also emphasize the longitudinal movement.
- The modeling part of this last point is not addressed in the present paper.
- Figure (1) presents the experimented architecture platform which will be described in the next section.
A. Simulator Architecture
- The authors present in this paper a mini driving simulator with an acceptable compromise between the quality of restitution, compactness and under cost constraints.
- The cabin is equipped with acceleration and braking pedals, steering wheel, gearbox lever and other classical car implements which are having appropriate sensors that allow the acquisition of the driver desired input commands .
- After updating the vehicle’s state, resulting information on the engine are sent to the cabin’s dashboard and to the traffic model server.
- The platform is embedded with power, sensors and control modules to have information feedback on the control system states.
B. Mechanical Description
- The platform is composed of two metallic parts linked mechanically.
- Cabin, driver and the sliding plate have an average weight of 380 kg, also known as Overall upper system.
- Through two sliders, assembled under the two edges of the cabin’s base, the platform is able to move on a rail of 1.2 m length.
- At peak current, acceleration and speed of ±1.224g and ±2.45 m/sec respectively are reached.
- On the yaw motion, it is directly controlled by placing a rotation system under the vertical structure and driven by a circular ball-screw drive actuated system (the same actuator, SMB 80, used for the longitudinal motion) operated by a brushless servomotor and reduction red of 139.2 see figure 4.
IV. PLATFORM MODELING AND IDENTIFICATION
- Mainly, control of robotic mechanisms is based on the knowledge of an accurate behavioral model that governs their motions.
- Indeed, the accuracy of the model depends essentially on the quantification of the phenomena that acts on it, and on the precision of its parameters.
A. Platform Kinematic Modeling
- The effect of the front wheel dynamics on that of the whole system is neglected.
- Hence, by removing the wheel and replace it with a resistive torque, resulting from the friction forces of the wheel/ground interaction, and acting on the yaw motion, the system treated in this paper can be seen as a serial multi body system with three bodies linked by two degrees of freedom, RP manipulator.
- Three orthonormal frames are used to describe the motion of the platform, see figure 5.
- Body B0 and body B1 are linked with a revolute joint parametrized by the variable q1.
- Hence, the configuration of the platform can be easily described by the vector q = (q1, q2).
B. Platform Dynamics
- Modeling mechanical mechanisms have attracted a great attention for a long time and have attained a great maturity.
- In fact, these development have led to a very efficient algorithms which are accurate and rapid in order to fulfilling requirements for robotic applications or computer animation for example and for a large degrees of freedom [21].
- The authors have used the Lagrange’s formalism for its simplicity.
- In next section, the authors will discuss the all parameters identification of the developed dynamic model and the used approach.
V. EXPERIMENTAL RESULTS
- In this section the authors present the results of tests made on the simulator for its frequency characterization.
- For the purpose of experiments, a PID controllers are used to control each of platform articulations (q1, q2)T .
- Firstly, the authors are looking for frequency characteristics of longitudinal and yaw motions.
- It is clear that proceeding by this way can give just an initial overview of the platform frequency capabilities.
- These values are sufficient to reproduce acceleration/deceleration transitions and also steering maneuvres in normal driving situations.
A. Conclusions
- Based on perceptual issues in driving a vehicle, the authors proposed a 2 DOF low cost platform for driving simulator which kept acceptable driving behavior and realism.
- The designed platform has two degrees of freedom.
- The second makes possible to produce yaw rotations.
- The parameters identification is not discussed in this paper.
- These findings are validated by real drivers completely satisfied with the motions fed back (longitudinal and yaw) quite acceptable.
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References
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Additional excerpts
...Index Terms—Driving Simulator design, Dynamics and Modeling....
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"2 DOF low cost platform for driving..." refers background in this paper
...Indeed, this clearly means that as the complexity of such experiments is lies in the fact that the simulation is composed of interconnected subsystems of different nature (biological, mechatronics, control laws, computer, etc.) and should be studied in its entirety....
[...]
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Frequently Asked Questions (2)
Q2. What are the future works mentioned in the paper "2 dof low cost platform for driving simulator: design and modeling" ?
Also, the authors plan to make tests in closed loop way using the steer wheel force feedback system. These future works will enable us to conclude on the impact of yaw movement over simulator sickness.