Abstract The throttle valve is the core equipment to managed pressure drilling (MPD) technology. PID controller is the most widely used throttle valve control algorithm. However, in the wellhead back pressure control system, the control of the throttle valve has strong nonlinearity and time variability. This makes precise closed-loop control of wellhead back pressure a challenge. The traditional controller needs to be improved in terms of control speed, stability and robustness. To overcome these shortcomings, this paper proposes an improved genetic algorithm optimization fuzzy controller. Firstly the wellhead back pressure control model is established and transfer function is calculated. Secondly, an improved genetic algorithm to optimize the highly nonlinear fuzzy control rules between the input and response in the fuzzy PID controller is designed. Finally, four traditional controllers are compared with the developed model to prove the method is optimal. The proposed controller has excellent performance in terms of time response parameters (such as rise time, adjustment time, overshoot, and steady-state error). The controller exhibits great advantages in terms of speed, stability, and robustness, which significantly improves the performance of the wellhead back pressure control system.

中文翻译：

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一种改进的遗传算法优化模糊控制器应用于井口背压控制系统

摘要 节流阀是控压钻井（MPD）技术的核心设备。PID 控制器是应用最广泛的节气门控制算法。然而，在井口背压控制系统中，节流阀的控制具有很强的非线性和时变性。这使得井口背压的精确闭环控制成为一项挑战。传统控制器在控制速度、稳定性和鲁棒性方面有待改进。为了克服这些缺点，本文提出了一种改进的遗传算法优化模糊控制器。首先建立井口背压控制模型，计算传递函数。第二，设计了一种改进遗传算法来优化模糊PID控制器中输入和响应之间的高度非线性模糊控制规则。最后，将四种传统控制器与所开发的模型进行比较，以证明该方法是最优的。所提出的控制器在时间响应参数（例如上升时间、调整时间、超调和稳态误差）方面具有出色的性能。该控制器在速度、稳定性和鲁棒性方面表现出极大的优势，显着提高了井口背压控制系统的性能。和稳态误差）。该控制器在速度、稳定性和鲁棒性方面表现出极大的优势，显着提高了井口背压控制系统的性能。和稳态误差）。该控制器在速度、稳定性和鲁棒性方面表现出极大的优势，显着提高了井口背压控制系统的性能。