Iterative tuning of modified uncertainty and disturbance estimator for time-delay processes: A data-driven approach

In this paper, we develop a novel robust control approach for discrete minimum and non-minimum phase systems via a combined data-driven virtual reference feedback tuning (VRFT) and internal model control (IMC) scheme. The first step in the conventional VRFT method controller design is the selection of the closed-loop reference model (M z ð Þ), and M z ð Þ selection is still an open problem. The integration of the IMC scheme and the VRFT method provides

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“…From Equation (), for more robustness, the gap between

T (e^{italicjω T_{s}})

plot and

lm (e^{italicjω T_{s}})

plot should be more. [ 5,18,25,26 ]…”

Section: Performance Evaluation Methodsmentioning

confidence: 99%

Robust control of discrete minimum and non‐minimum phase systems via data‐driven virtual reference feedback tuning and IMC

et al. 2022

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“…However, radio signals are susceptible to interference and obstruction, and the transmission and reception of image data require compression and decompression. This process will inevitably lead to image signal delay [17,18]. Therefore, the pilot cannot quickly and accurately identify and capture the object, and the phenomenon of pilot-induced oscillation (PIO) will also be potentially dangerous and paroxysmal [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Parameter Identification of Pilot Model and Stability Analysis of Human-in-Loop Image Seeker

Zhang,

Li,

et al. 2023

Aerospace

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In the human-in-loop (HIL) guidance mode, a pilot quickly identifies and flexibly locks on to a target through a real-time image signal transmitted by the aircraft. Then, the line-of-sight (LOS) angle error in the viewing field is tracked and compensated for in order to improve the guidance and control performance of the image-guided aircraft. Based on the physical structure and device parameters of the image seeker, an appropriate correction network is designed to improve the performance of the seeker stability loop. Aiming at a precise-extended crossover (PEC) pilot model, the structure of the dynamic model is optimized, and the maximum likelihood estimation (MLE) method of the output error structure is used to identify the dynamic parameters. This makes up for the deficiency of the existing modeling. In order to solve the nonlinear optimization problems encountered in the identification process, a hybrid strategy of a genetic algorithm (GA) and Gauss–Newton optimization algorithm is used to improve the probability of finding the global optimal solution. The simplex method is also used to improve the robustness of the algorithm. In addition, a hardware-in-the-loop simulation is designed and multi-round HIL experiment flow is performed. Moreover, based on the adaptability of the pilot to different image signal delays, the effects of different image signal delays on the stability and disturbance rejection rate (DRR) of the seeker control system are studied. The results demonstrate that the hybrid gradient optimization algorithm (HGOA) can find the global optimal value, and the identification model can accurately reflect the dynamic characteristics of the pilot. In the HIL guidance mode, the tracking compensation behavior of the pilot can reduce the influence of image signal delay on the disturbance of the aircraft body isolated by the seeker. The optimized PEC model and the identified dynamic parameters improve the efficiency of pilot training and screening.

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Identification of Systems Having Unstable Dynamics and Time Delays Using Delayed Recurrent Neural Networks

Sharma,

Prasad,

Arulananth

2023

Arab J Sci Eng

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Iterative tuning of modified uncertainty and disturbance estimator for time-delay processes: A data-driven approach

Cited by 10 publications

References 29 publications

Robust control of discrete minimum and non‐minimum phase systems via data‐driven virtual reference feedback tuning and IMC

Robust control of discrete minimum and non‐minimum phase systems via data‐driven virtual reference feedback tuning and IMC

Parameter Identification of Pilot Model and Stability Analysis of Human-in-Loop Image Seeker

Identification of Systems Having Unstable Dynamics and Time Delays Using Delayed Recurrent Neural Networks

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