【摘要】 本文针对水泥生料磨机系统的成分控制问题，提出了一种新型参数估计算法和自适应控制系统．新算法利用被控过程的先验知识避免了由于输入信号不“持续激励”而引起的估计错误．在新控制系统中，增设了基于新算法的成分估计器并采用了改进最小方差自校正控制器．仿真实验和实际应用结果都已证实：估计算法和控制方案是成功的．与普通最小二乘法相比，新算法具有更好的收敛性和更高的精度．控制方案已在工业控制机上实现，并用于水泥厂实时控制，运行结果是令人鼓舞的．更多还原

【Abstract】 This paper Proposes a novel estimation algorithm and adaptive control system for composition control at a raw mill in cement manufactory. Using a little "a priori" knowledge about the controlled process,the novel algorithm avoids wrong estimates arising from the fact that the system inputs are not persistently exciting. In the new adaptive control scheme. the additional composition estimator based on our proposed algorithm and the modified minimum variance self--tuning controller are employed.Both simulation experiments and practical operation show the new adaptive control scheme and estimation algorithm is successful. Compared with the classieal least--squares algorithm. the new algorithm has a good convergence and high accuracy. The new adaptive control scheme has been implemented in an industry computer,and have used for real--time operation in a cement manufactory. The practical operation results have been very encouraging.更多还原