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ControlForge Control Toolbox Software
| ControlForge is a graphical robust control toolbox software Matlab package for creating high performance discrete or continuous time controllers with minimal user effort |
|---|
| Controls rapid prototyping |
| Acoustic and structural/acoustic control |
| Flight controls & Sensor/actuator rich systems |
Applications
ControlForge is an indispensable component to
- Control rapid prototyping: implementation of closed loop control is the only valid method for verifying hardware and software, and for performing model updating for control design.
- Structural control: structural systems such as optical telescopes may require up to four decades of disturbance rejection, over a bandwidth of kilohertz, encompassing hundreds of modes controlled by tens of sensors and actuators. The resulting need to tune hundreds of individual control gains makes standard root locus or Bode design approaches impractical, but is simple to capture in a modern control design framework.
- Acoustic and structural/acoustic control: acoustic systems exhibit high order, highly coupled three-dimensional behavior, which must be captured in the control design process.
- Flight controls: air vehicle dynamics exhibit complex variations as a function of flight condition, and often include unstable behavior. Further, control bandwidth may encompass structural vibration frequencies which can themselves be variable and/or unstable (ie. flutter). Modern control approaches can create separate controllers for each flight condition, for gain scheduling, or a fixed gain controller which is robust to a wide variation in flight condition.
- Sensor/actuator rich systems: many systems, such as modern fighter aircraft, use redundant sensors and flight control surfaces to provide high performance and redundancy. Sensor fusion and efficient control power allocation are important concerns that can be addressed through the use of modern automatic control.
Tools provided in ControlForge have been applied to each of the systems listed above, with results meeting or exceeding expectations. Unstable open loop dynamics, high modal and sensor/actuator density, and system variation are easily addressed in the ControlForge framework. ControlForge requires a mathematical model of the nominal plant dynamics, and a set of measured frequency response data representing the plant at the required operating conditions. The math model may be a linear state space model, or may be an arbitrary nonlinear system from which a linearized model can be generated.
For more information:
Please contact Chris Ludlow (Products), or call: 781-306-0609 x227
