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本文针对广义最小方差自校正控制存在的问题,提出了利用双重切换控制消除稳态误差的新方法,使控制系统的动特性有所改善,并消除了稳态误差。对时变滞后系统,本文利用极小化二次型目标函数的方法实现对时变滞后的在线递推估计,尤其对大滞后系统及二次型目标函数为多极值情况,本算法简单快速且实用.实时仿真和应用结果表明,本算法在许多方面优于广义最小方差方法。
In this paper, aiming at the existing problems of generalized minimum variance self-tuning control, a new method to eliminate steady-state error by using double-switchover control is proposed, which improves the dynamic characteristics of the control system and eliminates the steady-state error. For the time-varying lag system, this paper uses the minimization quadratic objective function method to realize the on-line recursive estimation of the time-varying lag. Especially for large lag systems and the quadratic objective function is multi-extremum, this algorithm is simple and fast And practical.Real-time simulation and application results show that the proposed algorithm is superior to the generalized minimum variance method in many aspects.