Trajectory Oriented and Fault Tolerant Based Intelligent Process Control for Flexible CIGS PV Module Manufacturing: Phase 1 Final Technical Report, March 2003

    Research output: NRELSubcontract Report

    Abstract

    With the assistance of NREL's PV Manufacturing R&D program, ITN Energy Systems, Inc. and Global Solar Energy, Inc. continued the advancement of CIGS production technology by developing trajectory-oriented predictive/control models, fault-tolerance control, control-platform development, in-situ sensors, and process improvements. Modeling activities to date include developing physics-based andempirical models for CIGS and physics-based Mo deposition processing, implementing model-based control for CIGS processing, and applying predictive models to the construction of new evaporation sources. Model-based control is enabled by implementing reduced or empirical models into a control platform. Reliability improvement activities include systematic development of fault-preventionprocedures (e.g., preventative maintenance schedules) and detection/reconfiguration of sensor and other hardware failures for the full range of CIGS PV production deposition processes. In-situ sensor development activities have resulted in improved control and indicate the potential for enhanced process status monitoring and control of all deposition processes. In spite of the short time sincethe program was initiated, substantial process improvements have been made, including significant improvement in CIGS uniformity, thickness control (e.g., 71% reduction in Cu variability), yield, and throughput.
    Original languageAmerican English
    Number of pages39
    StatePublished - 2004

    Bibliographical note

    Work performed by ITN Energy Systems, Inc., Littleton, Colorado

    NREL Publication Number

    • NREL/SR-520-35146

    Keywords

    • control platform development
    • copper indium gallium diselenide (CIGS)
    • deposition process
    • fault tolerance control
    • flexible manufacturing
    • in-situ sensors
    • intelligent process control
    • model-based control
    • module
    • PV
    • trajectory-oriented control

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