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本文根据工业生产过程控制的特点,在广义最小方差自适应控制理论的基础上,提出了与极点配置方法相结合,设计出与时域指标相联系的自适应控制器的方法.该方法不仅克服了PID调节器和最小方差自校正调节器不适用于非最小相位系统和对控制量无约束的缺点,而且为确定广义最小方差二次目标函数中未知加权多项式提出了一种近似的方法.并在相应条件下保证了整个控制系统的稳定性.在控制规律的实现方面,提出了开环离线辨识与在线辨识相结合,在控制中采用断续辨识的工程实用方案.最后给出了与PID调节器比较的数字——模拟混合仿真曲线,表明该方案明显的优于PID调节器.
Based on the generalized minimum variance adaptive control theory, this paper proposes a method of combining with the pole placement method to design an adaptive controller which is linked with the time domain index, which not only overcomes the characteristics of industrial process control, The PID regulator and minimum variance self-tuning regulator are not suitable for non-minimum phase system and have no restriction on the control variables, and an approximate method is proposed for determining the unknown weighting polynomial in the quadratic objective function of generalized minimum variance Under the corresponding conditions, the stability of the whole control system is guaranteed.In terms of the control law, this paper proposes a practical scheme of open-loop offline identification combined with on-line identification and intermittent identification in control.Finally, Regulator comparison of digital - analog hybrid simulation curve shows that the program is clearly better than the PID regulator.