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基于预测IRIME分数阶PID在线径控制系统中的应用
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Abstract:
针对传统PID控制器对于非线性、时变性、大滞后的线径控制系统难以满足控制需求的问题。引入改进雾凇算法(IRIME)、模型预测算法(MPC)来对分数阶PID (FOPID)的控制参数进行优化。MPC算法通过系统阶跃响应，建立预测模型，对实际控制系统实现在线反馈校正，减少系统强滞后对线径控制精确度的影响，改善线径控制系统性能。通过对仿真结果的分析与评估，带预测IRIME的FOPID具有超调低、抗干扰性和鲁棒性好等优点。
Considering the challenge that the traditional PID controller is difficult to satisfy the control needs of nonlinear, time-varying and strong lag wire diameter control system, the improved Rime algorithm (IRIME) and Model Prediction Algorithm (MPC) are introduced to optimize the control parameters of fractional PID (FOPID). MPC algorithm establishes a prediction model through the step response of the system, realizes online feedback correction for the actual control system, and reduces the influence of the strong lag of the system on the control effect of the control system. Through the analysis and evaluation of the simulation results, the FOPID with predicted IRIME has the advantages of low overshoot, good anti-interference and robustness.
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