一种改进的自校正调节器

An Improved Self-Tuning Regulator

为解决闭环条件下系统参数不可辨识性给Ａｓｔｒｏｍ＆Ｗｉｔｔｅｎｍａｒｋ自校正调节器向最小方差控制器收敛的速度带来影响的这一问题，笔者构造了一种闭环条件下系统参数估计方法．计算机仿真结果表明，它较原有参数估计方法的收敛速度及收敛精度均有明显提高．在该方法基础上，针对Ａｓｔｒｏｍ＆Ｗｉｔｔｅｎｍａｒｋ自校正调节器，提出了一种改进的自校正调节器．理论分析及计算机仿真结果表明，改进后的自校正调节器在向最小方差控制收敛时，其收敛速度要快于原自校正调节器，从而明显地改善了自校正系统的控制品质．

o Solve the Problem that the unidentificability of system parameter in closed loop influences the convergence rate at which Astrom & Wittenmark self--tuning regulator converges to the minimum variance controller, a method of the parameter estimation of the system is suggested. The result of a numerical simulation indicates that this method improves significantly both in the convergence precision and the convergence rate of the parameter estimation of the system in comparing with the original method. By the use of this method of the parameter estimation, an improved Astrom & Wittenmark self--tuning regulator is developed, and both the computer simulation and the theoretical analysis prove the convergence rate of the improved Self--tuning regulator is faster than that of the original one. thus the control performance of self--tuning regulator system is improved.