时滞系统控制算法分析及仿真

在大多数自动化控制过程中,被控对象具有不同程度的延迟,不能及时反映系统所受的扰动.这种情况对系统的控制极为不利,会产生较大的超调,降低系统的稳定性.针对纯滞后系统的特点,对这类系统的补偿方案进行了详细介绍:PID算法、Smith预估补偿算法和Dahlin控制算法.同时以Smith预估补偿算法为例,在不同的参数下,利用MATLAB的Simulink工具箱对Smith预估控制系统的特性进行仿真,并分析其稳定性条件.结果表明,在模型匹配的情况下,此种算法具有很好的稳定性和鲁棒性,可以明显的加速调节过程,提高控制质量.

Analysis and Simulation of Time-Delay System Control Algorithm

In most automated control process, the controlled object reflects the system suffered disturbance with var- ying degrees of delay. This situation which is extremely detrimental to the control of the system, will have a great o- vershoot and reduce the stability of the system. According to the characteristics of pure delay system, we introduce the compensation packages of such systems in detail： PID algorithm, Smith Predictor algorithm and Dahlin control algorithm. Moreover, taking Smith predictor algorithm as an example, we make simulation of features of the Smith predictor control system, at different parameters by using MATLAB. The results show that Smith predictor algorithm has good stability and robustness which significantly speed up the adjustment process and improve quality control in the case of model matching.