A Multi-Smith Predictor for Time-Delay Systems’ Control

2019 ◽  
pp. 229-248
Keyword(s):  
Time Delay ◽  
Smith Predictor ◽  
Delay Systems ◽  
Time Delay Systems ◽  
Systems Control

Control of Time-Delay Systems Using Robust Fractional-Order Control and Robust Smith Predictor Based Control

2005 ◽  
Author(s):  
Patrick Lanusse ◽  
Alain Oustaloup
Keyword(s):  
Time Delay ◽  
Fractional Order ◽  
Control Plant ◽  
Smith Predictor ◽  
Delay Systems ◽  
Time Delay Systems ◽  
Robust Controller ◽  
Fractional Order Control ◽  
And Performance ◽  
Performance Tradeoff

Many modifications have been proposed to improve the Smith predictor structure used to control plant with time-delay. Some of them have been proposed to enhance the robustness of Smith predictor based controllers. They are often based on the use of deliberately mismatched model of the plant and then the IMC method can be used to tune the controller. This paper compares the performance of two Smith predictor based controllers including a mismatched model to the performance provided by a fractional order Crone controller which is well known for managing well the robustness and performance tradeoff. It is shown that even if it can simplify the design of (robust) controller, the use of an improved Smith predictor is not necessary to obtain good performance.

scholarly journals Study of adaptive Fuzzy Smith control for time-delay systems

2015 ◽  
Vol 18 (3) ◽  
pp. 143-149
Author(s):  
Tai Trong Nguyen ◽  
Thanh Van Dao
Keyword(s):  
Time Delay ◽  
Control Method ◽  
Fuzzy Controller ◽  
Smith Predictor ◽  
Delay Systems ◽  
Time Delay Systems ◽  
Control Effect ◽  
Performance Simulation ◽  
Adaptive Fuzzy ◽  
Varying Time Delay

In this paper, an adaptive Fuzzy Smith control method is presented to control the varying time delay systems. Based on the online parameter estimation, Smith predictor can be updated online which can eliminate the time delay element. This method overcame the shortcomings that control effect of conventional Smith predictor will be worse when the parameters of time delay systems change. Furthermore, an adaptive fuzzy controller adjusts online the PID control parameters to improve the control performance. Simulation results show the effectiveness of the proposed method.

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