Sliding Mode Guidance Law for Impact Time Control Without Explicit Time-to-Go Estimation

Kim, Hyeong-Geun; Cho, Dongsoo; Kim, H. Jin

doi:10.1109/taes.2018.2850208

Cited by 55 publications

(16 citation statements)

References 22 publications

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“…Therefore, using the normal acceleration in formula (13), the area of multiple attackers surrounding the target S = 1 4 N i=1 N j=1 a ij |R i R j sin θ ij | and the angular velocityλ = V λ R of multiple attackers will converge to zero, and multiple attackers can attack the target at the same time at relatively uniform speed V r = −c.…”

Section: B Cooperative Attack With Unknown Target Accelerationmentioning

confidence: 99%

“…Remark 4. The guidance laws A Mλ and A Mr in equations (3,13) are distributed. Each attacker only needs the relative information of itself and its neighbors, and does not need to know the information of the whole attacker group.…”

Section: B Cooperative Attack With Unknown Target Accelerationmentioning

confidence: 99%

“…Even though the design of the attackers' guidance laws can make the relative motion states of the attacker-target consistent, it can not guarantee accurate attack. In addition to the method of multi-agent consistency, some researchers use the idea of attacker-target relative motion remaining time consistency to design the guidance law in [12], [13], but the remaining time can only be estimated according to the future state, and the maneuvering target can not be accurately estimated, so the current remaining time method can only deal with stationary or slowly varying average velocity targets in [14].…”

Section: Introductionmentioning

confidence: 99%

“…Distributed guidance laws can be applied to guide multi-missile or multiple unmanned aerial vehicles (UAVs) system to encircle or attack a target simultaneously and to guide underwater multi-UAV system to capture a target cooperatively in Chen and Ren (2018), Dong and Hu (2016) and Wang et al (2017). In these scenarios, target acceleration can be broadly categorized into three types, namely known acceleration in Zhou and Yang (2016), Hou et al (2015), Wang et al (2015a,b), Bing et al (2017), Zhou et al (2017), Jeon et al (2010), Wang et al (2015), Sun and Xia (2012) and Kang et al (2018), unknown acceleration but with known upper bound in Kim et al (2019), Zhou et al (2018) and Hull et al (2012), and unknown acceleration but observable in Ding and Zheng (2016). When the target acceleration is unknown but the upper bound is known, researchers usually utilize the adaptive coefficient method to cancel the disturbance caused by the unknown acceleration in Zhou et al (2018) and Hull et al (2012).…”

Section: Introductionmentioning

confidence: 99%

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Design of distributed guidance laws for multiple unmanned aerial vehicles cooperative attack of a moving target based on reducing surrounding area

Wei

Yang

Fan

2020

Transactions of the Institute of Measurement and Control

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In this paper, two cooperative guidance laws based on two-point boundary value are designed to deal with the problem of cooperative encirclement and simultaneous attack under condition of both known target acceleration and unknown target acceleration. The only requirement for the multi-attacker communication network is that it contains a directed spanning tree. The guidance laws can function properly as long as at least one attacker can observed the target. The acceleration components along the attacker-target line of sight in the novel guidance laws can reduce the relative remaining distance between each of the attackers and the target at the same speed, thus completing simultaneous attack and avoiding the calculation of the remaining time. The components of the guidance laws perpendicular to the attacker-target line of sight can make the normal overload of relative motion zero, so that the trajectory will be smooth and the collision problem within the attacker can be avoided. Simulation results verified the practicability of the novel guidance laws.

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Section: B Cooperative Attack With Unknown Target Accelerationmentioning

confidence: 99%

Section: B Cooperative Attack With Unknown Target Accelerationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Design of distributed guidance laws for multiple unmanned aerial vehicles cooperative attack of a moving target based on reducing surrounding area

Wei

Yang

Fan

2020

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

show abstract

“…In [16], the impact time guidance strategy was designed against non-stationary targets without using explicit time-to-go, by constructing a sliding manifold as a weighted sum of the relative range and the desired time-to-go. The weighting functions in [16] were polynomial-based, which may impose computational burden on the guidance system if the order of polynomial is increased. The time-constrained strategy proposed in [17] utilized deviated pursuit guidance [18], originally developed to intercept constant speed targets, making PIP approximations unnecessary.…”

Section: Introductionmentioning

confidence: 99%

Integrated Guidance and Control Design For Time-Constrained Interception

Sinha¹,

Kumar²,

Mukherjee³

2020

Preprint

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This paper proposes integrated guidance and control design to intercept a non-maneuvering target at a pre-specified time of interception. The problem is addressed considering nonlinear engagement kinematics and the interceptor is steered using the combined effects of canard as well as tail configurations (dual control interceptors). Different formulations of time-to-go, without the restrictive assumption of interceptor's small heading angle, have been used in deriving the guidance commands, allowing the proposed strategies to remain effective over a wide range of impact time values. A weighted effort allocation scheme, in canard and tail deflections, has been proposed to generate the required lateral acceleration. The overall design uses sliding mode control owing to its simplicity of design. Finally, simulations are presented for various scenarios, including impaired actuator, vindicating the efficacy of the proposed technique.

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Terminal angle constrained time‐varying sliding mode guidance law with autopilot dynamics and input saturation

Wang

Lan

Yang

et al. 2022

Asian Journal of Control

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To intercept the maneuvering target at a desired terminal angle, this paper presents a time‐varying sliding mode guidance law with consideration of the second‐order autopilot dynamics and input saturation. To achieve the finite‐time interception and satisfactory overload characteristics, a time‐varying sliding mode guidance law is developed, which enables the line‐of‐sight (LOS) angle error to converge into a small neighborhood of the origin at the interception time. An auxiliary system is constructed to reduce the adverse effect generated from the input saturation. Moreover, with the aid of extended state observers, the proposed guidance law requires no information on the target acceleration and the acceleration derivative of the interceptor. The performance of this guidance law is verified via the numerical simulations.

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Sliding Mode Guidance Law for Impact Time Control Without Explicit Time-to-Go Estimation

Cited by 55 publications

References 22 publications

Design of distributed guidance laws for multiple unmanned aerial vehicles cooperative attack of a moving target based on reducing surrounding area

Design of distributed guidance laws for multiple unmanned aerial vehicles cooperative attack of a moving target based on reducing surrounding area

Integrated Guidance and Control Design For Time-Constrained Interception

Terminal angle constrained time‐varying sliding mode guidance law with autopilot dynamics and input saturation

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