Time Delay Compensation for Hardware-in-the-loop Simulation of a Turbojet Engine Fuel Control Unit Using Neural NARX Smith Predictor

Author(s):  
Mostafa Nasiri ◽  
Morteza Montazeri-Gh ◽  
Amin Salehi ◽  
Elham Bayati
PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256408
Author(s):  
Ch. Nauman Zahid ◽  
Mina Salim ◽  
Raja Ali Riaz ◽  
Jamshed Iqbal

Linear Parameter Varying (LPV) systems and their control have gained attraction recently as they approximate nonlinear systems with higher order than ordinary linear systems. On the other hand, time delay is an inherent part of various real-life applications. A supervisory control structure is proposed in this paper for LPV systems subject to time delays. In the proposed control structure, a supervisor selects the most suitable controller from a bank of controllers; which desires to enhance the performance of closed-loop system in contrast with using a single robust controller. The analysis is based on the celebrated Smith predictor for time delay compensation and we provide a sufficient condition to assure the stability of the closed-loop switched system in terms of dwell time. Simulations on blood pressure control of hypertension patients in postoperative scenario are used to exemplify the effectiveness of the utilized technique. The operating region of the system is partitioned into five smaller operating regions to construct corresponding robust controllers and perform hysteresis switching amongst them. Simulation results witnessed that the proposed control scheme demonstrated a pressure undershoot less than the desired value of 10 mmHg while the Mean Arterial Pressure (MAP) remains within ±5 mmHg of the desired value.


2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Laihua Tao ◽  
Shian Chen ◽  
Guisheng Fang ◽  
Guanghao Zu

A Smith predictor-Taylor series-based LQG (STLQG) control to compensate time delay of a semiactive suspension system is newly presented. This control consists of a Taylor series-based LQG (TLQG) control and a Smith predictor based on the TLQG. The TLQG control compensates one half of time delay to decrease magnification from whole time delay compensation. The Smith predictor based on the TLQG compensates the other half to decrease horizontal shift from whole time delay compensation using the Smith predictor-based LQG. Finally, a practical case illustrates advantages of the STLQG control.


2017 ◽  
Vol 50 (1) ◽  
pp. 11645-11651 ◽  
Author(s):  
Antonio González ◽  
Miguel Aranda ◽  
Gónzalo López-Nicolás ◽  
Carlos Sagüés

2015 ◽  
Vol 135 (7) ◽  
pp. 755-764 ◽  
Author(s):  
Shuhei Shimizu ◽  
Yoshiki Ohno ◽  
Takahiro Nozaki ◽  
Kouhei Ohnishi

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