Uncertain System Analysis
Using Robust Control Toolbox™, you can analyze the effect of plant model uncertainty on the closed-loop stability and performance of the control system. In particular, you can determine whether your control system will perform adequately over its entire operating range, and what source of uncertainty is most likely to jeopardize performance.
Robust Control Toolbox provides functions to assess worst-case values for:
Gain and phase margins, one loop at a time
Stability margins that take loop interactions into account
Gain between any two points in a closed-loop system
Sensitivity to external disturbances
These functions also provide sensitivity information to help you identify the uncertain elements that contribute most to performance degradation. With this information, you can determine whether a more accurate model, tighter manufacturing tolerances, or a more accurate sensor would most improve control system robustness.
- Disk-Based Gain and Phase Margins
Stability margins of feedback loops using disk-based analysis
- Robustness and Worst-Case Analysis
Worst-case effect of uncertainty on stability, margins, and overshoot
- Monte Carlo Analysis
Sample uncertain systems for statistical analysis
- Uncertainty Analysis with Simulink Models
Simulate uncertainty effects, compute stability margins