Research On Synchronous Lifting Control Strategy For Offshore Jack Up Drilling Platform

With the rapid development of human society,the demand for energy is increasing in various.The oil and gas resources in the Mainland become relatively scarce because of excessive mining,therefore,the human beings start to pay more attention to the ocean with rich resources.Jack up drilling platform as the most common and important offshore oil and gas drilling equipment,its safety and stability performance determines whether marine mining operations can be carried out smoothly.China is a powerful country of designing and manufacturing self-elevating drilling platform equipments,but some key technologies,such as mechanical design and electrical design of the lifting system have been introduced from abroad.Therefore,it is of great significance to study the jack up drilling platform.Firstly,this thesis used the BT350 feet jack-up drilling platform from Cimc Raffles as an example to design the transmission scheme and electrical control of this platform lifting system.Secondly,through the technical index of platform parameters,theoretical calculation and actual factors,a set of suitable hardware devices for the lifting system was selected,including the model of the motors,inverters and brake resistors.Thirdly,in view of the synchronous control requirements of the lifting system,the structure and working flow of synchronous control system were studied.By analyzing the characteristics of decoupling and coupling control schemes and synthesizing the advantages of the both,a control structure of the weighted deviation coupling error on base of the deviation coupling error was proposed.In MATLAB/Simulink environment,above two control modes were simulated for three motor models.And then,in view of the poor speed following performance of the traditional PID control strategy,a synchronous controller based on neural network was designed.The neural network controller was used to optimize the control parameters.Combining the neural network control algorithm and the weighted deviation coupling synchronous control structure,a weighted deviation coupling synchronous control strategy based on neural network was obtained.The simulation results showed that the system had a better anti-interference and synchronization performance.Finally,by studying the software of the self-elevating platform lifting system,a system was designed.The control software of the lifting system was compiled by Siemens Step7 and the monitoring software of the host computer was designed by Siemens Win CC configuration software.The OPC communicationtechnology was used to combine MATLAB simulation with PLC.The neural Network algorithm was applied to the industrial control to realize the integrated automation control of the lifting system.