4 papers · 1 filter
Data-Driven Koopman-Enhanced Extremum Seeking for Oscillation Damping in Nonlinear Systems
Timothy I. Salsbury, Min Gyung Yu, Sayak Mukherjee
We propose a novel extremum seeking control (ESC) method that operates in a lifted Koopman state space to minimize the filtered RMS energy in the dominant subspace. The lifted repr…
Control Affine Hybrid Power Plant Subsystem Modeling for Supervisory Control Design
Stephen Ampleman, Himanshu Sharma, Sayak Mukherjee +1
Hybrid power plants (HPPs) combine multiple power generators (conventional/variable) and energy storage capabilities to support generation inadequacy and grid demands. This paper i…
Supervisory Control of Hybrid Power Plants Using Online Feedback Optimization: Designs and Validations with a Hybrid Co-Simulation Engine
Sayak Mukherjee, Himanshu Sharma, Wenceslao Shaw Cortez +6
This research investigates designing a supervisory feedback controller for a hybrid power plant that coordinates the wind, solar, and battery energy storage plants to meet the desi…
An Uncertainty-Aware Data-Driven Predictive Controller for Hybrid Power Plants
Manavendra Desai, Himanshu Sharma, Sayak Mukherjee +1
Given the advancements in data-driven modeling for complex engineering and scientific applications, this work utilizes a data-driven predictive control method, namely subspace pred…