Study on Generalized Predictive Control for Rotary Steering Drilling Stable Platform
Zhou Jin-hu · Jisuanji fangzhen · 2015
The friction problem of rotary steering drilling platform was studied,and the generalized mathematical model of controlled object with friction was established. Aiming at the uncertainty of friction model,stair-like generalized predictive control algorithm was proposed to improve the accuracy and stability of the control system of stabilized platform. It can not only retain the advantages of traditional generalized predictive control,but also avoid to solve the inverse matrix online,meanwhile the security of this algorithm has been improved. This algorithm was applied in the control system of tool face orientation,and simulation studies were carried out. Simulation results show that the algorithm can guarantee higher control precision and good dynamic performance,as well as has strong anti-interference ability to time-varying frictional and good robustness to parameter uncertainty.