Three-Dimensional Guidance for Various Target Motions With Terminal Angle Constraints Using Twisting Control

Hu, Qinglei; Han, Tuo; Xin, Ming

doi:10.1109/tie.2019.2898607

Cited by 59 publications

(23 citation statements)

References 33 publications

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“…Note that these terminal angle constrained guidance laws are developed in a planar case, which assumes decoupled three-dimensional (3D) engagement dynamics. However, a real 3D interception is more practical for guidance law design, which attracts the recent study on the design of 3D guidance laws [20][21][22][23][24][25][26][27][28][29][30]. Thus, it is of practical significance to investigate the terminal angle constrained guidance law in the 3D space.…”

Section: Introductionmentioning

confidence: 99%

Sensor-Based Robust Incremental Three-Dimensional Guidance Law with Terminal Angle Constraint

Han¹,

Hu²,

Shin³

et al. 2021

Journal of Guidance, Control, and Dynamics

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In this work, a robust incremental three-dimensional (3D) guidance law is proposed considering terminal angle constraint against maneuvering targets. As a stepping stone, the line-of-sight (LOS) tracking error dynamics is employed for the 3D guidance law design. A sliding variable is constructed such that its first-order derivative excludes the relative range in the perturbation, which avoids the unboundedness of system perturbation induced by target maneuvers near collision. A time-varying version of the sliding variable is designed to accelerate convergence of the LOS tracking errors and avoid large initial sliding variables. Then, two guidance laws are derived as a benchmark via the nonlinear dynamic inversion (NDI)-based sliding mode control (NDI-SMC) and NDI-based time-varying sliding mode control (NDI-TVSMC), respectively. To further improve guidance robustness with reduced system perturbation, the sensor-based incremental nonlinear dynamic inversion (INDI) control is used to design the INDI-SMC-based and INDI-TVSMC-based guidance laws. The sensor-based guidance laws exploit the LOS angular acceleration and guidance command output at the latest step, which result in smaller guidance gains to reject the perturbation than the NDI guidance laws. Numerical simulations in various cases and comparison studies are conducted to verify the effectiveness and robustness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Sensor-Based Robust Incremental Three-Dimensional Guidance Law with Terminal Angle Constraint

Han¹,

Hu²,

Shin³

et al. 2021

Journal of Guidance, Control, and Dynamics

Self Cite

View full text Add to dashboard Cite

show abstract

“…In [11], Radau Pseudospectral Method (RPM) was adopted to obtain the optimization trajectories of two vehicles with variablesweep wings and fixed wings respectively. In [12], a twisting control-based guidance law considering nonlinear/coupled dynamics and terminal angle constraints was proposed in a three-dimensional space. In [13] [14], an analytical threedimensional guidance law, considering nonlinear coupled dynamics and the constraints of impact angle and field-ofview, was proposed.…”

Section: Introductionmentioning

confidence: 99%

Longitudinal Tracking Control for a Morphing Waverider Using Adaptive Super Twisting Control

et al. 2021

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The morphing aircraft is a promising solution to achieve an optimal flight performance according to various mission scenarios. To apply the morphing technology in hypersonic vehicles, a variable-sweep-wing morphing waverider was proposed in previous studies, and its aerodynamic performance and dynamic model were presented. In this paper, this morphing waverider is assumed to perform a long-range unpowered glide mission over a wide speed range from hypersonic to subsonic speed. First, the accurate longitudinal dynamic model for the morphing waverider is presented, with all the additional forces and moments that stem from morphing. And a control-oriented longitudinal dynamic model is proposed and it separates the additional morphing forces and moments from derivatives of state variables. Then, an adaptive super twisting sliding mode controller is applied for this morphing waverider to track the optimized trajectory during the entire morphing process. Finally, the overall performance of this controller is examined by nominal condition simulations and Monte Carlo runs. Under the nominal condition simulations, the adaptive super twisting algorithm based sliding mode controller reduces mean tracking error of the pitch angle by 25% compared with the traditional sliding mode controller. In the 500 Monte Carlo runs, the ASTA controller reduces maximum tracking error of the pitch angle by 47% compared with the SMC controller.INDEX TERMS Variable-sweep-wing, morphing waverider, sliding mode control, adaptive super twisting algorithm

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“…However, due to the lack of the guidance subsystem, the control lag caused by the large inertia of UAV cannot be solved. Line of sight (LOS) guidance is the most widely used among guidance methods due to its simplicity and ease of implementation and many control strategies combined with LOS has been proposed to meet various practical needs, including unmanned surface vehicle (Jiang et al, 2020; Liu et al, 2015; Rout et al, 2020; Woo et al, 2019) underwater vehicles (Sahu and Subudhi, 2017; Wang et al, 2020) and unmanned aerial vehicle (Chen et al, 2016; Chen et al, 2019; He et al, 2017; Hu et al, 2020; Wang et al, 2019; Zheng and Zou, 2016; Zuo et al, 2019), these LOS-based control strategies can compensate for control lag, but the optimized indicators are generally designed as the shortest settling time and the minimum path deviation, which inevitably leads to overshoot of the following path. This paper therefore introduces a novel guidance and control system based on the IPSO algorithm, the LOS guidance law and the PI controller, which can meet the needs of fast non-overshoot control.…”

Section: Introductionmentioning

confidence: 99%

A non-overshooting controller for vehicle path following

Wang

Zhang

2021

Transactions of the Institute of Measurement and Control

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Unmanned pavement construction is of great significance in China, and one of the most important issues is how to follow the designed path near the boundary of the pavement construction area to avoid curbs or railings. In this paper, we raise a simple yet effective controller, named the proportional-integral-radius and improved particle swarm optimization (PIR-IPSO) controller, for fast non-overshooting path-following control of an unmanned articulated vehicle (UAV). Firstly, UAV kinematics model is introduced and segmented UAV steering dynamics model is built through field experiments; then, the raw data collected by differential global positioning system (DGPS) is used to build the measurement error distribution model that simulates positioning errors. Next, line of sight (LOS) guidance law is introduced and the LOS initial parameter is assigned based on human driving behavior. Besides, the initial control parameters tuned by the Ziegler-Nichols (ZN) method are used as the initial iterative parameters of the PSO controller. An improved PSO fitness function is also designed to achieve fast non-overshoot control performance. Experiments show that compared with the PSO, ZN and ZN-PSO controller, the PIR-PSO-based controller has significantly less settling time and almost no overshoot in various UAV initial states. Furthermore, compared with other controllers, the proposed PIR-IPSO-based controller achieves precise non-overshoot control, relatively less settling time and centimeter-level positioning error in various initial deviations.

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Three-Dimensional Guidance for Various Target Motions With Terminal Angle Constraints Using Twisting Control

Cited by 59 publications

References 33 publications

Sensor-Based Robust Incremental Three-Dimensional Guidance Law with Terminal Angle Constraint

Sensor-Based Robust Incremental Three-Dimensional Guidance Law with Terminal Angle Constraint

Longitudinal Tracking Control for a Morphing Waverider Using Adaptive Super Twisting Control

A non-overshooting controller for vehicle path following

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