| With the development of world economic and technology, oceanic development has become an important aspect of new technology revolution. Offshore gas and oil development can be viewed as one of the major parts in offshore resource development project. Mobile offshore platforms are served as the main equipments for offshore gas and oil exploration and development. Currently, the control systems for offshore drilling platforms neither used nor made in China are all imported from abroad. Domestic researches on sea jack-up drilling platform lifting system are relatively fewer so that it is of great importance to carry out research in this field.This dissertation is based on the Dalian Maritime University & Cosco Nantong DMI Co., Ltd joint project---jack-up offshore platform to enhance lock control systems. Firstly, the principle and functions of sea jack-up platform lifting control system (SJPLCS) are introduced in this thesis. Secondly, the control system for SJPLCS is designed in terms of the system requirements and types of equipments for the control system are also determined. Furthermore, a mathematical model for lifting system is established. Finally, simulation results are given based on adaptive intelligent fuzzy-smith control algorithm.The structure of sea jack-up platform distributed control system is introduced. The communication between industrial control computer and PLC, concepts of data acquisition and centralized control are also discussed. Besides, the suitable control algorithm is mainly discussed due to the complex and large delay character of the control system. The Smith predictor, fuzzy prediction control and the fuzzy-Smith control are also studied. An adaptive intelligent fuzzy-Smith control algorithm (AIFSCA) is proposed to further improve the steady-state accuracy and adaptive capacity of Smith control. Simulation results demonstrate the better control performance and better robustness of the proposed AIFSCA compared with Smith predict control. |
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