2020
DOI: 10.1049/iet-cta.2019.0634
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Input‐to‐state stability‐based adaptive control for spacecraft fly‐around with input saturation

Abstract: This study is concerned with the six degrees-of-freedom (6-DOF) tracking control problem for spacecraft fly-around mission in the presence of input saturation and external disturbances. First, to describe the fly-around mission, a coupled 6-DOF relative motion dynamic model is established. Subsequently, a basic controller is designed based on input-to-state stability. To address the input saturation problem, a novel dead-zone operator-based model is introduced. Then, employing input-to-state practical stabilit… Show more

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Cited by 14 publications
(20 citation statements)
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“…In this section, three numerical experiments are carried out to demonstrate the effectiveness of the proposed control scheme ( 43)- (47). Specifically, the first experiment illustrates that the AUV could operate at any attitude motion under the controller's effort.…”
Section: Simulation Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In this section, three numerical experiments are carried out to demonstrate the effectiveness of the proposed control scheme ( 43)- (47). Specifically, the first experiment illustrates that the AUV could operate at any attitude motion under the controller's effort.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…According to equality c i = ∫ 𝛼 i 0 𝜌 i (𝛽) d𝛽, we ultimately can obtain (22). Meanwhile, since P (𝜏 i ) is a continuous function, 46,47 the boundedness of P (𝜏 i ) is ensured as well. This conclusion, in turn, implies that there is an unknown constant d satisfying d i < d. At this point, the proof of Lemma 5 is completed.…”
Section: Actuator Modelmentioning
confidence: 95%
“…As DTCs are usually applied to control systems with big delays (where conventional controllers such as PID and feedback gains alone are not as effective), the LMI conditions should, ideally, have a low number of decision variables to avoid tractability problems due to the high dimensionality of (7). Due to that, the augmented functional approach of [39] is not practical and can lead to high numerical complexity.…”
Section: More Details On the Formulation And Contributionsmentioning
confidence: 99%
“…Applying technologies such as anti-windup compensator [27], low gain feedback [28] and gain scheduling [29], fruitful control algorithms taking control input saturation into account have been presented by researchers [30][31][32][33][34][35]. In the field of spacecraft control, there have been a number of researches that consider input saturation as well [36][37][38][39][40]. Among those results, time-varying sliding mode control [36] is an insightful method because it has the advantages in explicitly stating the maximum control input, having strong robustness and reducing control chattering.…”
Section: Introductionmentioning
confidence: 99%