Adaptive Optimization Of PID Parameters While Drilling Based On Fibonacci

At present,the automatic drilling method mostly adopts the constant drilling pressure automatic drilling method.The traditional drilling pressure PID control system has the advantages of simple structure and reliable operation,and is widely used.However,due to the large time lag in the actual drilling process,if relying on the driller's personnel to determine the PID parameters based on experience,the original PID parameters may not be applicable to the new formation when the formation changes,causing the system to respond slowly and overshoot.Large quantities and steady-state errors.Therefore,when the formation of drilling encounters changes,the traditional PID control system has the disadvantages of long parameter setting period,unable to effectively overcome the large-scale changes of load and disturbance,and the optimization of real-time parameters.In view of the above problems,this paper takes constant drilling weight automatic drilling as the research object,constructs a hydraulic disc brake rig control model,and designs genetic algorithm(GA),particle swarm optimization(Particle Swarm Optimization,PSO)and Fibonacci-based Quantum genetic algorithm(Quantum genetic algorithm based on Fibonacci,FBQGA)three intelligent optimization algorithms,which are used to optimize the PID control parameters of the drilling rig respectively,and realize the automatic call of the optimized PID parameters in the Simulink environment,which improves the control parameters of the drilling rig Fast and adaptive tuning.Finally,in the MATLAB GUI environment,the GUI interface of the adaptive PID control system while drilling is designed,which can directly observe the PID parameter results and the system response curve.The simulation results show that,compared with the traditional Z-N empirical formula method and trial and error method,the GA algorithm shortens the system adjustment time by5.68% and 24.94% respectively;PSO reduces the system adjustment time by 7.3% compared to the GA system;and the designed FBQGA For PSO and GA,the system adjustment time is shortened by 35.34% and 45.22%,respectively,and the overshoot of the system is reduced by55.63% and 39.63%,respectively.Therefore,the PID parameters based on Fibonacci are adaptively optimized while drilling.While realizing the rapid adaptive tuning of PID parameters,the overshoot of the response ofthe constant-pressure hydraulic disc brake system is reduced,the adjustment time is shortened,and the system response is accelerated Speed,which in turn improves the control accuracy and robustness of the system.