research interests
- Applied nonlinear and adaptive control
- Modeling, identification, and control of energy conversion and storage systems
- Optimization-based control
- Control-theoretic approaches to understanding human locomotion and learning
Current Projects
Modeling and Control of Stirling Engine Power Supplies:
- Development of control-oriented models for simulation and HIL testing
- Investigation of high-efficiency power electronic converters
- Optimal control for maximum energy harvesting
Past Projects
Model-Free Optimization for Diesel Engine Calibration:
Simultaneous Identification and Control of PMSMs:
- Development of control strategies for simultaneous identification and control (SIC) of PMSMs
- Analysis using detailed Matlab/Simulink simulations
- Experimental validation using dSPACE
Michigan Power and Energy Lab (MPEL) testbed design, construction and validation:
- Advanced electric machinery and drives test bed with hybrid energy storage
- Two 85 kW permanent magnet synchronous machine and two 20 kW induction machines
- Energy storage consists of 16 kWh Li-ION battery, four 63 farad / 125 volt ultracapacitors, and a flywheel (54 kW discharging / 90 kW charging)
Construction of custom Li-ION battery pack for MPEL:
- 16 kWh Li-ION battery pack constructed using commercially available hardware
- Four 40 volt / 100 Ah modules with distributed BMS and CANBUS communication
Induction machine rotor resistance estimation:
- Lyapunov-based rotor resistance estimation for a Direct Field-Oriented Controlled induction machine
- Experimental validation on a 1.5 HP machine and dSPACE DS 1104 controller