Abstract
This paper presents a study of an optimal sliding mode Gaussian (OSG) controller implemented in the hydraulic modeling program SIMSEN for Load Frequency Control (LFC). System Identification is used to obtain a dynamic model of the turbine in SIMSEN and is subsequently used in an observer to generate the estimated state vector and to design a sliding mode controller. Results are compared with those of traditional PI and LQG designs. It is shown that the OSG control method improves the system performance under a load disturbance.
| Original language | English (US) |
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| Title of host publication | 2013 American Control Conference, ACC 2013 |
| Pages | 6535-6540 |
| Number of pages | 6 |
| State | Published - Sep 11 2013 |
| Event | 2013 1st American Control Conference, ACC 2013 - Washington, DC, United States Duration: Jun 17 2013 → Jun 19 2013 |
Other
| Other | 2013 1st American Control Conference, ACC 2013 |
|---|---|
| Country/Territory | United States |
| City | Washington, DC |
| Period | 6/17/13 → 6/19/13 |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering