Adaptive Disturbance Rejection Control for Automatic Carrier Landing System

Wang, Xin; Chen, Xin; Wen, Liyan

doi:10.1155/2016/7345056

Cited by 13 publications

(7 citation statements)

References 19 publications

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“…An ACLS design scheme with dynamic inversion techniques was also demonstrated to be promising and robust [6]. A stable adaptive control scheme was developed based on the LDU (lower-diagonal-upper) decomposition of the high-frequency gain matrix for carrier landing during the final approach [7]. Regarding the carrier landing problem for aircraft with short takeoff and landing capabilities, gain-scheduled linear optimal control and L-1 adaptive control were applied to an ACLS design in [8].…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Control for Automatic Carrier Landing with Time Delay

Cui¹,

Wang²,

Liu³

et al. 2021

International Journal of Aerospace Engineering

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This paper focuses on the problem of automatic carrier landing control with time delay, and an antidelay model predictive control (AD-MPC) scheme for carrier landing based on the symplectic pseudospectral (SP) method and a prediction error method with particle swarm optimization (PE-PSO) is designed. Firstly, the mathematical model for carrier landing control with time delay is given, and based on the Padé approximation (PA) principle, the model with time delay is transformed into an equivalent nondelay one. Furthermore, a guidance trajectory based on the predicted trajectory shape and position deviation is designed in the MPC framework to eliminate the influence of carrier deck motion and real-time error. At the same time, a rolling optimal control block is designed based on the SP algorithm, in which the steady-state carrier air wake compensation is introduced to suppress the interference of the air wake. On this basis, the PE-PSO delay estimation algorithm is proposed to estimate the unknown delay parameter in the equivalent control model. The simulation results show that the delay estimation error of the PE-PSO algorithm is smaller than 2 ms, and the AD-MPC algorithm proposed in this paper can limit the landing height error within ±0.14 m under the condition of multiple disturbances and system input delay. The control accuracy of AD-MPC is much higher than that of the traditional pole assignment algorithm, and its computational efficiency meets the requirement of real-time online tracking.

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Section: Introductionmentioning

confidence: 99%

Model Predictive Control for Automatic Carrier Landing with Time Delay

Cui¹,

Wang²,

Liu³

et al. 2021

International Journal of Aerospace Engineering

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“…Yin et al [14] used simulated model to verify the deck movement and ship wake in the landing process of carrier-based aircraft. Wang et al [15] developed an adaptive disturbance rejection algorithm to discuss the carrier-based aircraft dynamics and the linearized longitudinal model under turbulence conditions. Although the above efforts investigated the carrier-based aircraft from different perspectives, there are still some shortcomings on the sinking velocity study: (1) it has only provided the measured data of different kinds of carrierbased aircrafts considering different working conditions without including the relevant influence factors on the sinking velocity; (2) it has only finished the deterministic analysis of carrier-based aircraft by dynamic analysis theories without considering the randomness of influential factors, especially the sinking velocity; (3) most of works investigate the sinking velocity of carrier-based aircraft on the basis of theoretical methods without verifying the feasibility and applicability in engineering compounded with the measured data.…”

Section: Introductionmentioning

confidence: 99%

Sinking Velocity Impact‐Analysis for the Carrier‐Based Aircraft Using the Response Surface Method‐Based Improved Kriging Algorithm

Xue

Wang

et al. 2020

Advances in Materials Science and Engineering

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The deck landing sinking velocity of carrier-based aircraft is affected by carrier attitude, sea condition, aircraft performance, etc. Its impact analysis is a complex nonlinear problem, and there even is some contradictory phenomenon that when the approach velocity increases, the sinking velocity decreases under certain circumstances. Aiming at exploring the impact of the various related deck landing parameters on sinking velocity for carrier-based aircraft in the actual environment, response surface method-based improved Kriging algorithm (IK-RSM) is proposed based on genetic algorithm and Kriging model. Based on the deck landing measured data of the F/A-18A aircraft in the actual operating environment, the impact degree of the 15 deck landing parameters on the sinking velocity is explored, respectively, by using the partial correlation analysis of multivariate statistical theory and the IK-RSM. It can be found that the 4 parameters are strongly correlated with the sinking velocity; that is, the aircraft glide angle and deck pitch angle are highly correlated with the sinking velocity; next, the approach velocity and the engaging velocity are moderately correlated with the sinking velocity. The 4 parameters above could be used to establish the impact analysis model of the sinking velocity. The genetic algorithm is applied to the correction coefficients optimization of the IK-RSM’s kernel functions, and the IK-RSM of the F/A-18A aircraft sinking velocity is formed. Compared with the Kriging model and the empirical formula, the sinking velocity prediction accuracy indexes of IK-RSM are the best; for example, the determination coefficient is 0.981, the mean relative error is 1.813%, and the maximum relative error is 6.771%. Furthermore, based on the sinking velocity IK-RSM and the sensitivity analysis method proposed, we have explained the reason for the contradictory phenomenon that when the approach velocity increases, the sinking velocity decreases at some samples. It could provide certain technical support for the flight attitude control related to the sinking velocity during the actual flight of carrier-based aircraft.

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“…Therefore, the effectiveness degrades significantly when there are random wake and sea wave disturbances. To achieve better antiinterference capabilities of the ACLS, Xin Wang [7] developed a stable adaptive control scheme based on LDU (lower-diagonal-upper) decomposition of the high-frequency gain matrix. This approach ensures closed-loop stability and asymptotic output tracking.…”

Section: Introductionmentioning

confidence: 99%

Receding Horizon Longitudinal Control Technology for Automatic Carrier Landing With Variable Reference Trajectory Based on Sliding Rate Information

et al. 2020

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In this paper, the longitudinal control of automatic carrier landing is studied. First, the carrier landing control problem is transformed into an optimal control problem of trajectory tracking. Considering the constraints of the control variables and the rate of change of control variables in the realistic landing process, the original linear small disturbance model is expanded. Based on the symplectic pseudospectral method and the adaptive regression prediction technology, a fast receding horizon carrier landing control technology with a variable reference trajectory is developed. Finally, the effectiveness of the control algorithm is verified by simulations at different sea states, initial deviations, and reference trajectory selection strategies. The simulation results demonstrate that the introduction of deck motion prediction can greatly reduce the phase delay of the control system and enhance the tracking ability of the carrier-based aircraft and improve the control effectiveness significantly. The proposed algorithm can precisely control the carrier landing trajectory under initial deviations, the external continuous wind disturbances, and random error of the state variables. Additionally, the calculation efficiency of the present control algorithm is sufficient for real-time online tracking.

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Adaptive Disturbance Rejection Control for Automatic Carrier Landing System

Cited by 13 publications

References 19 publications

Model Predictive Control for Automatic Carrier Landing with Time Delay

Model Predictive Control for Automatic Carrier Landing with Time Delay

Sinking Velocity Impact‐Analysis for the Carrier‐Based Aircraft Using the Response Surface Method‐Based Improved Kriging Algorithm

Receding Horizon Longitudinal Control Technology for Automatic Carrier Landing With Variable Reference Trajectory Based on Sliding Rate Information

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