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Critical Design Review: Dead Reckoning System for Mobile Robots Lee FithianSteven Parkinson Ajay JosephSaba Rizvi
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Problem Statement Use a mobile robot and develop a synthesized navigation algorithm. We will integrate various sensors.
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Modules I. Sensor Interface I. Produces output from the electrical inputs it receives; x-, y-distance traveled & heading II. Navigation I. Allows for different methods to be used regardless of input and output needs III. Movement I. Controls motors; can be modified if motors are changed
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Accelerometer
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Created an algorithm that changes electrical output into position data. A(g) = (T1/T2 – 0.5)/12.5% Pos = (A(g) * t^2)/2 Pos = Pos Start + Pos New
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Shaft encoder
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Shaft Encoder D = (Left D + Right D) / 2 Θ = (Left D – Right D) / b X = D * cos(Θ) Y = D * sin(Θ)
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Gyroscope
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Compass
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Merging Data Average positions calculated from sensors Weighted average of positions calculated from sensors Use sensors calculations for certain tasks and scale the results
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Problems Basic Misunderstanding of problem statement OOPic limitations Counter usage, frequency generator Delay of parts Building robot vs. assembly of robot
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Changes Added sensors Compass, gyroscope Upgraded OOPic Memory, Faster uC Added protoboard Switched to rechargeable batteries Integrated sensor for position calculation
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Circuit Diagram
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Conclusion Construction Mark III based robot with shaft encoders, accelerometers, compass, gyroscope Validation to ensure systems work at a basic level Experimentation Use dead reckoning navigation in trials. Record trials on butcher paper Analysis Numerical analysis of accuracy of navigation method.
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