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The Temperature Control of Laser Thermal Desorption System Based on Parameters Self-Tuning Fuzzy PID Algorithm

机译:基于参数自调整模糊PID算法的激光热解吸系统温度控制

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In view of the high-power laser could make the temperature rise on the samples, this paper proposes a controller based on parameters self-tuning fuzzy PID algorithm. The controller can be not only applied to the single control object based on Fuzzy empirical formula according to the PID parameters online correcting, but also can effectively deal with the temperature control model of LTDS uncertainly, nonlinear, time-varying, hysteresis, and so on. And in this paper, we make a simulation comparative experiment between the traditional PID control and the fuzzy adaptive PID control by using Matlab Simulink toolbox. The experiment result shows that fuzzy adaptive PID is better than the traditional control algorithm on overshoot, settling time and other performance indicators, and it can effectively improve control accuracy of the temperature control system.
机译:鉴于高功率激光器可以使样品上升到温度上升,本文提出了一种基于参数自调整模糊PID算法的控制器。控制器可以不仅根据PID参数在线校正基于模糊的经验公式应用于单控制对象,还可以有效地处理LTD的温度控制模型,不确定,非线性,时变,滞后等。在本文中,我们通过Matlab Simulink Toolbox进行了传统PID控制与模糊自适应PID控制之间的模拟比较实验。实验结果表明,模糊自适应PID优于传统的控制算法在过冲,稳定时间和其他性能指标上的传统控制算法,可以有效地提高温度控制系统的控制精度。

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