Download 3D-Position Tracking and Control for All-Terrain Robots by Pierre Lamon PDF
By Pierre Lamon
Rough terrain robotics is a quick evolving box of study and many attempt is deployed in the direction of permitting a better point of autonomy for outside automobiles. This booklet demonstrates how the accuracy of 3D place monitoring could be better by means of contemplating rover locomotion in tough terrain as a holistic challenge. even though the choice of applicable sensors is important to thoroughly song the rover’s place, it's not the single element to think about. certainly, using an unadapted locomotion suggestion critically impacts the sign to noise ratio of the sensors, which ends up in terrible movement estimates. during this paintings, a mechanical constitution permitting soft movement throughout stumbling blocks with restricted wheel slip is used. specifically, it permits using odometry and inertial sensors to enhance the location estimation in tough terrain. a mode for computing 3D movement increments in keeping with the wheel encoders and chassis nation sensors is built. since it money owed for the kinematics of the rover, this technique offers greater effects than the normal strategy. To additional enhance the accuracy of the placement monitoring and the rover’s hiking functionality, a controller minimizing wheel slip is built. The set of rules runs on-line and will be tailored to any type of passive wheeled rover. ultimately, sensor fusion utilizing 3D-Odometry, inertial sensors and visible movement estimation in line with stereovision is gifted. The experimental effects display how every one sensor contributes to extend the accuracy and robustness of the 3D place estimation.
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Additional info for 3D-Position Tracking and Control for All-Terrain Robots
No single sensor can provide all the required information. All have their own drawbacks and advantages. , an inertial measurement unit can provide data at 100 Hz but the heading estimation diverges quickly, whereas a sun sensor provides absolute heading but requires the rover to remain at rest over a longer measurement time. 2. Since the data provided by absolute sensors contain no drift, they have more value than those acquired using dead reckoning sensors. 3. , heading error) leads to a large position error, it is more important to have precise information about angles than about distances.
A new technique called 3D-Odometry, which provides 3D motion estimates of SOLERO, is presented in this chapter. 1 3D-Odometry Odometry is widely used to track the position (x, y) and the heading ψ of a robot in a plane π . The vector [ x y ψ ]Tπ is updated by integrating small motion increments sensed by the wheel encoders between two time-steps. , [ x y z φ θ ψ ]TW . The orientation of the plane π on which the robot moves is determined using an inclinometer and the motion increment is obtained by projecting the robot displacements measured in the plane π into the global coordinate system.
6), they become disastrous while climbing sharp-shaped obstacles (Fig. 7). 2), which corresponds to the actual motion direction of the bogie center B. This angle, together with the wheel encoders’ data allows computation of the wheel-ground contact angles and the norm and direction of motion of a bogie (point L or C). This direction corresponds neither to the pitch of the main body nor to the mechanical angle of the bogie: it is the actual direction of motion of the point L or C in the global coordinate system.