|The MapleSim Control Design Toolbox provides a solid set of essential control design tools that extend MapleSim’s exceptional plant modeling capabilities to support control design. The MapleSim Control Design Toolbox provides:
- Greater flexibility and accuracy in your controllers. The symbolic approach for designing, analyzing, 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.
- Provides tools for model linearization, PID tuning, development of state-space control strategies such as LQR, custom compensator design and the creation of feedback system configurations including LQG.
- Incorporates symbolic techniques that make it possible to
- Characterize all possible solutions to a 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 to multiple related models without further tuning.
- Create controllers where the design specifications are parametric, so the same controller can be used successfully under a variety of conditions.
- Includes easy-to-use MapleSim templates for interactive controller development and analysis.
- Provides programmatic access to all functionality as an alternative to the interactive interface and supports custom application development.
- Templates, documentation, and examples are incorporated seamlessly into the MapleSim environment, providing a single consistent interface for developing both the plant and the controller.
Toolbox functionality includes:
- Model linearization
- Standard PID tuning techniques
- Ziegler-Nichols time response
- Ziegler-Nichols frequency response
- Advanced PID tuning techniques
- Dominant pole placement
- Pole placement in a specified region
- Gain and phase margin
- Automatic PID tuning method selection
- State Feedback Control
- Single input pole placement (using Ackermann’s formula)
- Multiple input pole placement
- Linear-quadratic regulator (LQR)
- Automatic computation of design parameters
- State Estimation
- Single output pole placement (using Ackermann’s formula)
- Multiple output pole placement
- Kalman Filter
- System Manipulation
- Closed-loop form of feedback systems
- Removal of non-minimal states of the system