粉煤灰恒压输送滑模控制系统研究

为了克服PID控制器的缺点,有效抑制状态变量的超调问题,加快系统的控制速度,增强系统的抗干扰性,针对粉煤灰恒压输送系统提出了一种自学习滑模控制方法。设计了一种非线性光滑函数,并将其应用于自抗扰控制器、跟踪微分器及滑模趋近律的设计。鉴于进一步提高系统的自适应控制能力,使用了最速下降法对滑模控制器的增益参数进行自学习镇定。仿真与实验结果表明:该方法不仅响应速度快、控制精度高,而且有效抑制和消除了系统抖振和超调现象。

Research of Constant Pressure Delivery Sliding Mode Control System of Flying Ashes

In order to overcome the drawback of PID controller,effectively curb the overshoot problems of state variables,speed up the control speed of the system and enhance the anti interference of the system,a self learning sliding mode control (SLSMC) method was proposed for the fly ash constant pressure conveying system.A nonlinear smoothing function (NSF) was designed and then applied to the design of active disturbance rejection controller,tracking differential and sliding mode reaching law.To further improve the adaptive control ability of the system,the steepest descent method was used to update the gain parameters of the sliding mode controller through self learning algorithm.Simulation and experimental results show that the proposed method not only has fast response speed and high control precision,but also effectively suppresses and eliminates the system chattering and the overshoot phenomenon.