MakerBotControlSystem
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Contents |
MakerBot: Control System Design, Implementation and Characterization
Time to brush off some of that rusty old control system design knowledge I once majored in.
Goals
My goals will be to:
- Describe the MakerBot thermal, electrical and mechanical system in terms of a state-space model.
- Model said system using the GNU Octave free open-source software (FOSS) suite of tools.
- Design test and measurement criteria and data to generate a set of parameter estimation functions to calibrate the control system model.
- Generate discrete-time state-space octave model.
- Implement discrete-time algorithm using microcontroller or DSP (as required).
The Model
Controllable Parameters
Extruder
- Heater On/Off (PWM control code)
- DC Motor Voltage (PWM control code)
- Nozzle aperture diameter (fixed)
- Incoming filament diameter (fixed)
X Axis
- Stepper Velocity (step rate)
Y Axis
- Stepper Velocity (step rate)
Z Axis
- Stepper Velocity (step rate)
Observable Parameters
Extruder
- Relative Nozzle Temperature (thermistor ADC code)
- Closed loop
- Calibrated Nozzle Temperature (thermocouple based digital thermometer)
- Open loop
- Incoming filament position (with encoder wheel/sensor)
- Closed loop
- Incoming filament travel (callipers)
- Open loop
- Outgoing filament diameter (callipers)
- Open loop
- Outgoing filament length (callipers)
- Open loop
- Outgoing filament mass (scale)
- Open loop
- Possibly closed loop with build platform integrated weight cells.
X Axis
- Endstop activation
- Closed loop
- Position (ruler)
- Open loop
Y Axis
- Endstop activation
- Closed loop
- Position (ruler)
- Open loop
Z Axis
- Endstop activation
- Closed loop
- Position (ruler)
- Open loop
References
Online Course Material
MIT OpenCourseWare
- Electrical Engineering and Computer Science
- 6.011 Introduction to Communication, Control, and Signal Processing
- 6.231 Dynamic Programming and Stochastic Control
- 6.241 Dynamic Systems & Control
- 6.243J / 2.156J / 16.337J Dynamics of Nonlinear Systems
- 6.245 Multivariable Control Systems
- 6.091 Hands-On Introduction to Electrical Engineering Lab Skills
- 6.152J / 3.155J Micro/Nano Processing Technology
- 6.302 Feedback Systems
- 6.341 Discrete-Time Signal Processing
- 6.432 Stochastic Processes, Detection, and Estimation
- 6.435 System Identification
- 6.774 Physics of Microfabrication: Front End Processing
- 6.777J / 2.372J Design and Fabrication of Microelectromechanical Devices
- Mechanical Engineering
- Materials Science and Engineering
- 3.00 Thermodynamics of Materials
- 3.016 Mathematics for Materials Scientists and Engineers
- 3.044 Materials Processing
- 3.063 Polymer Physics
- 3.064 Polymer Engineering
- 3.14 Physical Metallurgy
- 3.185 Transport Phenomena in Materials Engineering
- 3.A04 Modern Blacksmithing and Physical Metallurgy
- 3.11 Mechanics of Materials
- 3.20 Materials at Equilibrium (SMA 5111)
- 3.205 Thermodynamics and Kinetics of Materials
- 3.21 Kinetic Processes in Materials
- 3.22 Mechanical Behavior of Materials
- 3.225 Electronic and Mechanical Properties of Materials
- Electrical Engineering and Computer Science