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本文介绍了一种用微处理器实现自校正调节器的算法。该算法用最小二乘法在线辨识对象特性的变化,用最小方差作为其控制策略,从而及时地对控制算式进行自动修正,适应各种工况的变化。为了提高控制精度以及使它能适应受控输出比操纵量较多的系统,本编写程序采用了32位浮点的软件格式,并对基本的自校正算法作了修正。数字仿真实验结果表明:自校正调节器的控制效果优于PID调节器的效果。
This article describes a microprocessor implementation of self-tuning regulator algorithm. The algorithm uses the least square method to identify the change of object characteristics online, and uses the minimum variance as its control strategy, so that the control formula can be automatically corrected in time to adapt to changes in various working conditions. In order to improve the control accuracy and make it adapt to the system with more controlled outputs than the manipulations, this program uses a 32-bit floating-point software format and corrects the basic self-calibration algorithm. The numerical simulation results show that the self-tuning regulator’s control effect is better than that of the PID regulator’s.