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美国政府科技报告
>Trajectory-Oriented and Fault-Tolerant-Based Intelligent Process Control for Flexible CIGS PV Module Manufacturing. Final Technical Report, May 13, 2002-May 30, 2005
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Trajectory-Oriented and Fault-Tolerant-Based Intelligent Process Control for Flexible CIGS PV Module Manufacturing. Final Technical Report, May 13, 2002-May 30, 2005
ITN Energy Systems, Inc., and Global Solar Energy, Inc., with the assistance of NRELs PV Manufacturing R&D program have continued the advancement of CIGS production technology through the development of trajectory oriented predictive/control models, fault tolerance control, control platform development, in-situ sensors, and process improvements. Modeling activities included the development of physics-based and empirical models for CIGS and sputter deposition processing, implementation of model-based control, and application of predictive models to the construction of new evaporation sources and for control. Model-based control is enabled through implementation of reduced or empirical models into a control platform. Reliability improvement activities include implementation of preventive maintenance schedules; detection of failed sensors/equipment and reconfiguration to continue processing; and systematic development of fault prevention and reconfiguration strategies for the full range of CIGS PV production deposition processes. In-situ sensor development activities have resulted in improved control and indicated the potential for enhanced process status monitoring and control of the deposition processes. Substantial process improvements have been made, including significant improvement in CIGS uniformity, thickness control, efficiency, yield, and throughput. In large measure, these gains have been driven by process optimization, which in turn have been enabled by control and reliability improvements due to this PV Manufacturing R&D program. This has resulted in substantial improvements of flexible CIGS PV module performance and efficiency. This program has also resulted in implementation of fully functional process control software with accompanying graphical user interfaces to enable implementation of model-based control and reconfiguration capabilities and in-situ sensor based real-time control. Finally, the program has been leveraged to develop improved processing systems both at the component and configuration levels.
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