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Full-Text Articles in Controls and Control Theory
Control Of Power Electronic Interfaces In Distributed Generation., Mohammad Mohebbi
Control Of Power Electronic Interfaces In Distributed Generation., Mohammad Mohebbi
Electronic Theses and Dissertations
Renewable energy has gained popularity as an alternative resource for electric power generation. As such, Distributed Generation (DG) is expected to open new horizons to electric power generation. Most renewable energy sources cannot be connected to the load directly. Integration of the renewable energy sources with the load has brought new challenges in terms of the system’s stability, voltage regulation and power quality issues. For example, the output power, voltage and frequency of an example wind turbine depend on the wind speed, which fluctuate over time and cannot be forecasted accurately. At the same time, the nonlinearity of residential electrical …
Observation And Estimation Study For Sensorless Control Of Linear Vapor Compressors., Joseph Latham
Observation And Estimation Study For Sensorless Control Of Linear Vapor Compressors., Joseph Latham
Electronic Theses and Dissertations
Linear vapor compressors have become widely investigated for refrigeration applications due to their high efficiency in comparison to the more common rotary type compressors. However, the nature of the linear compressor adds complexity to the control of these machines. The unconstrained motion of the piston in a linear compressor allows for continuous modulation of the compressor output, but requires knowledge of the mechanical dynamics to effectively control the compressor and prevent collision of the piston with the cylinder head. This control is made more difficult by the highly nonlinear nature of the force of gas compression acting against the piston. …
Intelligent Learning Control System Design Based On Adaptive Dynamic Programming, Naresh Malla
Intelligent Learning Control System Design Based On Adaptive Dynamic Programming, Naresh Malla
Electronic Theses and Dissertations
Adaptive dynamic programming (ADP) controller is a powerful neural network based control technique that has been investigated, designed, and tested in a wide range of applications for solving optimal control problems in complex systems. The performance of ADP controller is usually obtained by long training periods because the data usage efficiency is low as it discards the samples once used. Experience replay is a powerful technique showing potential to accelerate the training process of learning and control. However, its existing design can not be directly used for model-free ADP design, because it focuses on the forward temporal difference (TD) information …