Control Design Software

Design, test, and implement control systems

Control design software ideally supports each stage of the control system development process, from plant modeling to compensator design to deployment through automatic code generation.

MATLAB^®, Simulink^®, and add-on products cover all these stages, letting you develop, implement, and test your control system in one control design software environment.

• Create accurate plant models using physical modeling, system identification, and parameter estimation.
• Design feedback compensators using techniques ranging from classical design such as Bode and root locus, to automated tuning of multivariable decentralized control systems, using H infinity algorithms. 
• Automatically generate C code, EC 61131 structured text, and Verilog and VHDL for targeting microcontrollers, programmable logic controllers (PLCs) and FPGAs.
• Verify your control design through simulation, formal verification methods, and real-time testing.

Examples and How To

Modeling

• Physical Modeling Introduction 9:31 (Video)
• System Identification Toolbox Overview 2:01 (Video)
• Airbus Develops Fuel Management System for the A380 Using Model-Based Design (User Story)

Compensator Design

• PID Controller Design for a DC Motor 3:54 (Video)
• Trim, Linearization, and Control Design for an Aircraft 7:17 (Video)

Code Generation

• GM Standardizes on Control Design Software for Hybrid Powertrain Development (User Story)
• Alstom Generates Production Code for Safety-Critical Power Converter Control Systems (User Story)

Verification and Testing

• Control Design and Rapid Prototyping with Simulink 3:38 (Video)
• Cessna Enhances Antiskid Technology with Hardware-in-the-Loop Testing (User Story)

See also: control systems, PID control, simulation and Model-Based Design, system design and simulation, physical modeling, linearization, PID tuning, embedded code generation, rapid prototyping, verification, validation, and test, real-time testing, formal verification