Advanced physical modeling tool from Maplesoft was key for the rapid development of a high fidelity, multi-domain model of robotic space rover for the Canadian Space Agency.
Unmanned planetary exploration is a focus for many space research agencies worldwide today. To do this successfully, advanced autonomous robotic rovers are needed. Dr. Amir Khajepour, Canadian Research Chair in Mechatronic Vehicle Systems and Professor of Engineering in the Mechanical and Mechatronics Engineering department at the University of Waterloo (UW), is working with the Canadian Space Agency (CSA), Maplesoft, and the Government of Canada, to develop a full solution for the power management system of autonomous rovers. Dr. Khajepour is a leading figure in mechatronics and robotics and he has chosen MapleSim, an advanced physical modeling tool from Maplesoft, as a key tool in his project.
The CSA has a strong history of applying symbolic techniques in space robotics modeling. They have used these techniques in the design of various space robots deployed through the Space Shuttle program and the International Space Station. This new initiative at UW is using MapleSim, the latest generation of symbolic modeling technology, to rapidly develop high fidelity, multi-domain models of the rover subsystems.
The general goal of the project is to design a rover system that can get the rover from point A to point B, taking into consideration all probable constraints. For example, what would the path be if the rover is to get to a specified location with minimum risk? Alternatively, if the rover is to get to a specified location using the fastest route, what would that path be?
Step one of this three-year project is to develop the initial rover model, including such aspects as battery, solar power-generation, terrain and soil conditions. The project, in its later stages, will also include a full range of Hardware-in-the-Loop (HIL) testing phases using real-time hardware and software from National Instruments, using system models that have been developed in, and automatically deployed from MapleSim. This is critical for optimizing system parameters that will maximize power conservation while still achieving mission goals.
“With the use of MapleSim, the base model of the rover was developed in only a few months,” says Dr. Khajepour. “I am really impressed by the benefits of MapleSim compared to traditional tools. I now have a 6 wheeled, multiple degree-of-freedom system, and I never had to write down a single equation. MapleSim was able to generate an optimum set of equations for the rover system automatically.”
Dr. Khajepour was also impressed with MapleSim’s graphical interface. In MapleSim, you can simply re-create the system diagram on your screen using components that represent the physical model. The resulting system diagram looks very similar to what an engineer might draw by hand. MapleSim can then easily transform the models into realistic animations. These animations make it substantially easier to validate the system diagram and give greater insight into the system behavior.
“The ability to see the model, to see the moving parts, is very important to a model developer,” says Dr. Khajepour. “I have now completely converted to MapleSim.”
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