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Maple |
The MapleSim Control Design Toolbox provides a solid set of essential
control design tools that extend MapleSim’s exceptional plant
modelling capabilities tsupport control design. The MapleSim Control
Design Toolbox provides:
- Greater flexibility and accuracy in your controllers. The
symbolic approach for designing, analysing, and testing control
systems produces superior results.
- Increased reusability of
your controller designs. You can document your design decisions
using the extensive technical documentation tools available with
MapleSim.
- An accelerated design process.
Developing your plants and controllers together in the same environment
reduces the need for inefficient tool-swapping.
Key Features
- Provides tools for model linearisation, PID tuning, development
of state-space control strategies, and custom compensator design.
- Incorporates symbolic techniques that make it possible to
- Characterise
all possible solutions ta given control problem and then
pick the best solution based on the particular situation.
- Build and
investigate controllers where the model includes symbolic,
unspecified parameters. The same controller design can then
be applied tmultiple related models without further tuning.
- Create controllers
where the design specifications are parametric, sthe same
controller can be used successfully under a variety of conditions.
- Provides
easy-to-use MapleSim templates for interactive controller development
and analysis.
- Includes a set of 20 Maple language commands,
which provides programmatic access tall functionality as an
alternative tthe interactive interface and supports custom
application development.
- Templates, documentation, and examples
are incorporated seamlessly intthe MapleSim environment, providing
a single consistent interface for developing both the plant and
the controller.
Toolbox functionality includes:
- Model linearisation
- Standard PID tuning techniques
- Ziegler-Nichols time response
- Ziegler-Nichols frequency
response
- Cohen-Coon
- Advanced PID tuning techniques
- Dominant pole placement
- Pole placement in a specified region
- Gain and phase margin
- State Feedback Control
- Single input pole placement (using
Ackermann’s formula)
- Multiple input pole placement
- Linear-quadratic regulator
(LQR)
- State Estimation
- Single output pole placement (using Ackermann’s
formula)
- Multiple output pole placement
- Kalman Filter
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Product Reviews |
"Without the Maple software, we would have to spend weeks generating the equations of motion for every experiment. Then the chances that we did it right would basically be near zero. There would always be a mistake somewhere. It is very difficult to set up a dynamic motion model by hand."
- Jean-Claude PiedBeouf, Ph.D Manager of Robotics, Canadian Space Agency
"Its very good - highly accurate and easy to use. The speed of Maple allows me to change equations and quickly reintegrate them into the application, so more possibilities can be explored to achieve the precise effect desired."
Shawn Neely, Senior R & D Director for PDI/Dreamworks |
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