Low Power Electronics (DC-DC Converters)
This area of research focuses on the development of systematic design methods for the design and control of low cost flexible digitally implemented dc-dc converters (e.g. buck, boost, buck-boost).
Application Areas
Relevant application areas include:
- Consumer electronics; e.g. PCs
- Automotive electronics
- Aerospace electronics
Relevant Control Challenges
Relevant control challenges include:
- optimal performance-based filter design
- filter parameter fluctuations
- filter high frequency parasitic dynamics
- PWM frequency/resolution selection
- PWM constraint enforcement issues
- switching transistor uncertainty
- load fluctuations (i.e. output disturbances, additional parasitic dynamics)
- line voltage fluctuations (i.e. input disturbances)
- output voltage measurement noise
- time delay (lag) associated with A/D
- A/D resolution and quantization effects
- time delay and lag associated with D/A /PWM
- D/A/PWM resolution effects
- lag due to anti-aliasing filter (AAF)
- discrete-time (sample-data) controller design methodology
- command following, disturbance attenuation, sensor noise attenuation
- performance robustness
- output ripple specification, load fluctuation and line voltage attenuation specifications, robustness specifications
- controller complexity and implementation issues
- controller coefficient sensitivity issues
- finite precision arithmetic (word length) effects within embedded processor; e.g. field programmable gate array (FPGA)
- controller-filter power consumption
- power efficiency
- controller implementation within FPGA
- controller adaptation; e.g. model-based disturbance attenuation, frequency adaptation
- power up issues
- duty cycle constraint enforcement and wind-up effects
- use of high-level rapid protoyping tools
- fault tolerance issues
Objectives and Goals
The main objective of this research is to develop systematic methods for the design of flexible low cost digital dc-dc converters with nominal performance/robustness guarantees.
Approaches
Modern robustness and sample-data design theory.
Collaborators and Sponsors
Collaborators include: Professors Kostas Tsakalis, David Allee, Jennie Si (ASU, Electrical Engineering). This work has been supported by the National Science Foundation (NSF).
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