Stability of saturated dead-time compensating pi controllers for uncertain dead-time systems

Author(s):  
D. Limon-Marruedo ◽  
J. E. Normey-Rico ◽  
D. J. Pagano ◽  
J. Aracil
Automatica ◽  
2012 ◽  
Vol 48 (3) ◽  
pp. 480-489 ◽  
Author(s):  
Suat Gumussoy ◽  
Wim Michiels
Keyword(s):  

10.5772/19258 ◽  
2011 ◽  
Author(s):  
Dennis Brandao ◽  
Nunzio Torrisi ◽  
Renato F. Fernandes Jr

Automatica ◽  
2003 ◽  
Vol 39 (2) ◽  
pp. 361-366 ◽  
Author(s):  
Qing-Chang Zhong
Keyword(s):  

Processes ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 212
Author(s):  
Ning He ◽  
Yichun Jiang ◽  
Lile He

An analytical model predictive control (MPC) tuning method for multivariable first-order plus fractional dead time systems is presented in this paper. First, the decoupling condition of the closed-loop system is derived, based on which the considered multivariable MPC tuning problem is simplified to a pole placement problem. Given such a simplification, an analytical tuning method guaranteeing the closed-loop stability as well as pre-specified time-domain performance is developed. Finally, simulation examples are provided to show the effectiveness of the proposed method.


2015 ◽  
Vol 48 (14) ◽  
pp. 126-131 ◽  
Author(s):  
Ugur Yildirim ◽  
Alhan Mutlu ◽  
Mehmet T. Söylemez

2011 ◽  
Vol 204-210 ◽  
pp. 1938-1943 ◽  
Author(s):  
Yong Hui Chen ◽  
Xiao Hui Zeng ◽  
Gong Quan Tan

For a first-order lag process with dead-time models (FOPDT) under step load disturbances, optimal parameters of proportional and integral (PI) controller are obtained through numerical optimization based on minimizing the integrated time and absolute error (ITAE), or maximizing the integral gain. The optimizations are under constrains of sensitivity functions. Then, the tuning formulas for PI controllers are adjusted according to parameters from numerical fittings of optimized values within a large scope of the ratio of the inertia time to the dead-time of processes. Finally, the process information is acquired from closed-loop tests of a two-channel relay and the process is approximately modeled with a FOPDT model in order to achieve parameter auto-tuning of controllers. The approach proposed is proved to be effective according to simulation results.


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