研究目的
To design an improved induction motor for photovoltaic array fed water pumping systems, focusing on enhancing efficiency and starting torque while eliminating mechanical sensors to reduce cost and complexity.
研究成果
The designed induction motor shows improved efficiency (up to 87%) and starting performance, with successful sensorless operation and effective MPPT. The system is cost-effective and suitable for PV-fed water pumping, performing well under various conditions. Future work could involve field deployment and further optimization.
研究不足
The system is validated in a laboratory setting and may require field testing for real-world applicability. The design focuses on specific motor ratings and may not generalize to all sizes. The sensorless speed estimation could be sensitive to parameter variations despite claims of robustness.
1:Experimental Design and Method Selection:
The system uses a sensorless field-oriented control with an artificial neural network for current control, and a P&O based MPPT algorithm. Finite element method and Maxwell stress tensor are employed for magnetic analysis.
2:Sample Selection and Data Sources:
A
3:2 kW, 230V, 4-pole induction motor is designed and tested, powered by a 4 kW solar PV array. Laboratory prototypes are used for validation. List of Experimental Equipment and Materials:
Includes PV simulator (AMETEK ETS600x17DPVF Terra SAS), Hall-Effect sensors (LV-25P for voltage, LA-55P for current), VSI (SEMIKRON MD B6CI 600/415–35F), dSPACE 1104 controller, digital oscilloscope (Agilent make), and a DC generator for load simulation.
4:Experimental Procedures and Operational Workflow:
The motor is tested under no-load, blocked-rotor, and various insolation conditions. Speed estimation is done using stator voltages and currents, with ANN controlling the VSI. Efficiency and performance parameters are measured.
5:Data Analysis Methods:
Data is analyzed using Ansys RMxprt software for efficiency curves, and harmonic distortion is calculated for current control performance.
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