The MapleSim Control Design Toolbox is an add-on for MapleSim that provides essential tools for designing, analyzing, and testing control systems. It extends MapleSim’s plant modeling capabilities, allowing users to linearize models, tune PID controllers, and design advanced controllers such as state feedback and observers. The toolbox leverages symbolic computation for accurate and efficient controller development, supporting complex systems and integrating seamlessly with Maple and MapleSim environments.

Key Features

Model Linearization Generate linearized models from complex MapleSim systems for control design.

• Handles systems of any complexity, including DAEs of any index.
• Supports linearization about operating points for accurate controller synthesis.

PID Controller Design and Tuning Create and tune PID controllers using standard and advanced techniques.

• Includes Ziegler-Nichols (time and frequency), Cohen-Coon, and dominant pole placement methods.
• Provides templates and apps for rapid controller development and export.

State Feedback and Observer Design Design state feedback controllers and state estimators.

• Supports single/multiple input pole placement, LQR, and Kalman filter design.
• Enables state estimation and advanced observer synthesis.

Integration with Maple and MapleSim Seamlessly integrates with MapleSim and Maple for a unified modeling and control environment.

• Access to ControlDesign and DynamicSystems packages in Maple.
• Export controllers and custom components directly to MapleSim for simulation.

Technical Documentation Support Document control design decisions within the MapleSim environment.

• Use Maple’s technical documentation tools for traceability and reporting.

Benefits

Accelerated Control Design Workflow Speeds up the process of modeling, linearizing, and controller design.

• Reduces tool-switching by integrating modeling and control within one environment.
• Streamlines the export and testing of controllers in simulation.

Advanced Symbolic Computation Leverages symbolic math for precise and flexible control system analysis.

• Allows handling of complex, high-order, or multi-domain systems.
• Enables direct manipulation and analysis of system equations.

Comprehensive Controller Support Covers a wide range of control strategies for diverse applications.

• Supports both classical and modern control techniques.
• Facilitates rapid prototyping and iterative design.