A data-driven approach for trajectory-based aircraft operation with controlled time of arrival and along-track wind effects

Jiang, Gaoyang; Hou, Zhongsheng

doi:10.1177/0142331220909004

Cited by 4 publications

(2 citation statements)

References 48 publications

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“…At present, the model-free adaptive control method and its improved versions have been widely used in electromagnetic control [35], vibration control [36], water level control [37], electric energy control [38], traffic road network boundary control [39] and other fields. Meanwhile, recent research extended the application of model free adaptive control theory to trajectory-based aircraft operation [40].…”

Section: Introductionmentioning

confidence: 99%

“…Instead, the input and output data of the control system are directly used to design the controller. (2) Compared with the existing research work based on the model-free adaptive control [23,40], the performance limitations of aircraft are considered in this paper, making the proposed control method more applicable to the actual operation of civil aircraft. 3Compared with the state-of-art integrated control method of civil aircraft [27], the roll, pitch, yaw angle and flight positions of the aircraft instead of the disturbance of these variables [27] are directly controlled in the proposed method, contributing to more intuitive control object and simulation results in this paper.…”

Section: Introductionmentioning

confidence: 99%

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A Model Free Adaptive Scheme for Integrated Control of Civil Aircraft Trajectory and Attitude

Jiang

Liu

2021

Symmetry

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The adaptive trajectory and attitude control is essential for the four-dimensional (4D) trajectory operation of civil aircraft in symmetric thrust flight. In this work, an integrated trajectory and attitude control scheme is proposed based on the =multi-input multi-output (MIMO) model free adaptive control (MFAC) method. First, the full-form dynamic linearization technique is adopted to build the equivalent data model of aircraft. Also, the MIMO MFAC scheme with saturation constraint is designed to achieve an accurate tracking control for a given 4D trajectory and attitude. Besides, the performance limitations of aircraft are taken into consideration, and the MIMO MFAC scheme with hard constraints is designed. In addition, to improve the simulation efficiency, a control scheme with mixed constraints, i.e., saturation and hard constraints, is further proposed. It can be seen from the simulation results that the proposed method can perform an integrated control of the aircraft 4D trajectory and attitude without precise modeling, and the control performance is better than that of the model-based control method in terms of flight altitude and yaw angle control. The integrated data-driven control scheme proposed in this paper provides a theoretical solution for the precise operation of aircraft under 4D trajectory.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Model Free Adaptive Scheme for Integrated Control of Civil Aircraft Trajectory and Attitude

Jiang

Liu

2021

Symmetry

Self Cite

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Cascade MFAC-based data-driven control for aircraft in 4D trajectory tracking

Jiang,

Zhao,

Hou

2024

Transactions of the Institute of Measurement and Control

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This study aims to explore a trajectory tracking control approach in four-dimensional (4D) trajectory operation by employing cascade model-free adaptive control (MFAC) technique. The primary objective is to tackle the complexities associated with modeling aircraft mechanisms in the context of tracking control. By utilizing measurable input and output data, an equivalent dynamic linearized data model of the aircraft is constructed. Subsequently, position and speed controllers are developed based on MIMO-CFDL-MFAC and SISO-CFDL-MFAC, respectively. These controllers are then integrated to form an active-follower control system. Finally, a numerical simulation was conducted to track the entire 4D trajectory, encompassing climb, cruise, and descent stages, using historical data from flight CX8176 as a reference trajectory. Unlike previous researches, the proposed method eliminates the requirement for an aircraft mechanism model in the controller design, and it is verified using real flight data as a reference trajectory. The findings demonstrate that the cascade MFAC method can effectively minimize trajectory tracking errors, while also offering advantages in terms of energy conservation and emission reduction.

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Output fluctuation and overshoot restraining for a class of nonlinear discrete-time systems using a modified model-free adaptive control

Wang,

Liu,

Xia

et al. 2024

Transactions of the Institute of Measurement and Control

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This paper modifies the prototype model-free adaptive control (PMFAC) approach in which system output fluctuation and overshoot (SOFO) is easy to occur. Targeting a class of nonlinear discrete-time single-input single-output systems, historical input/output sensor data are utilized to online construct equivalent explicit data model for control design, making the controller model-free. Then, a novel compensation input term including a compensation gain and a signum function parameterized by incremental output is proposed to soften system inputs, which can in turn restrain the SOFO. Numerical simulations and a speed control experiment for a direct current motor verify that the modified approach can restrain the SOFO successfully and reduce response time compared with the PMFAC.

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A data-driven approach for trajectory-based aircraft operation with controlled time of arrival and along-track wind effects

Cited by 4 publications

References 48 publications

A Model Free Adaptive Scheme for Integrated Control of Civil Aircraft Trajectory and Attitude

A Model Free Adaptive Scheme for Integrated Control of Civil Aircraft Trajectory and Attitude

Cascade MFAC-based data-driven control for aircraft in 4D trajectory tracking

Output fluctuation and overshoot restraining for a class of nonlinear discrete-time systems using a modified model-free adaptive control

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