Evolution of attitude control law of an Indian re-entry launch vehicle

Jee, Gopal; Sharma, Kapil K.; Rao, K. Koteswara; Zachariah, Sam K.; Brinda, V.; Lalithambika, V.R.; Dhekane, M.V.; Deodhare, Girish; Chetty, Shyam

doi:10.1007/s12572-015-0118-1

Cited by 6 publications

(2 citation statements)

References 13 publications

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“…After each mission into space, it is used repeatedly by recycling and reuse. It has good prospects in civil and defense applications and is also a goal pursued by different aerospace agencies around the world (Jee et al 2014). Reentry trajectory optimization is a key part of the conceptual design of RLV and has a significant effect on the design of aerodynamics, structural strength and thermal protection systems, which plays a critical role in the safe and effective reentry flight (Zhang et al 2020).…”

Section: Introductionmentioning

confidence: 99%

A hybrid parallel Harris hawks optimization algorithm for reusable launch vehicle reentry trajectory optimization with no-fly zones

Dai

Liu

2021

Soft Comput

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Reentry trajectory optimization is a critical optimal control problem for reusable launch vehicle (RLV) with highly nonlinear dynamic characteristics and complex constraints. In this paper, a hybrid parallel harris hawks optimization (HPHHO) algorithm is proposed to address the problem.HPHHO aims to enhance the performance of existing harris hawks optimization (HHO) algorithm by three strategies including oppositional learning, smoothing technique and parallel optimization mechanism. At the beginning of each iteration, the opposite population is calculated from the current population by the oppositional learning strategy. Following that, the individuals in the two populations are arranged in ascending order on the basis of the fitness function values, and the top half of the resulting population is selected as the initial population. The selected initial population is divided into two equal subpopulations which are assigned to the differential evolution and the HHO algorithm, respectively. The both algorithms operate in parallel to search and update the solutions of each subpopulation simultaneously. Then the solutions are smoothed for each iteration by the smoothing technique to reduce fluctuations. As a result, the optimal solution obtained by the parallel optimization mechanism avoids falling into local optima. The performance of HPHHO is evaluated by 4 CEC 2005 benchmark functions and 3 constrained continuous optimal control problems, showing better efficiency and robustness in terms of performance metrics, convergence rate and stability. Finally, the simulation results show that the proposed algorithm is very effective, practical and feasible in solving the RLV reentry trajectory optimization problem. Keywords Hybrid parallel harris hawks optimization • Oppositional learning • Smoothing technique • Parallel optimization mechanism • Reentry trajectory optimization

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Section: Introductionmentioning

confidence: 99%

A hybrid parallel Harris hawks optimization algorithm for reusable launch vehicle reentry trajectory optimization with no-fly zones

Dai

Liu

2021

Soft Comput

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“…This example reveals the issues with the traditional design procedure. ARI gain selection cannot be automated if it is based on the placement of the root location close to the Dutch roll pole, or based on the Hankel norm (16) , or verifying it with closed-loop time response simulations or HQ assessment using real-time simulators. The methods currently used for K ARI design are, therefore, based on an iterative process.…”

Section: Aircraft Model and Conventional Ari Designmentioning

confidence: 99%

A non-iterative design for aileron to rudder interconnect gain

2020

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Aileron to Rudder Interconnect (ARI) gain is implemented on most fighter aircraft, primarily to reduce the side slip produced due to adverse yaw from pilot lateral control stick input and to improve the turn rate response. A systematic and non-iterative design procedure for ARI gain is proposed herein based on the evaluation of a transfer function magnitude at the aircraft roll mode frequency. The simplicity of the proposed method makes it useful for real-time flight control law reconfiguration in situations where the aileron control authority is diminished due to damage. This is demonstrated by a simulation example considering an aileron surface damage scenario.

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Review on guidance and control of aerospace vehicles: recent progress and prospect

Wang,

Cai,

Gong

et al. 2024

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Evolution of attitude control law of an Indian re-entry launch vehicle

Cited by 6 publications

References 13 publications

A hybrid parallel Harris hawks optimization algorithm for reusable launch vehicle reentry trajectory optimization with no-fly zones

A hybrid parallel Harris hawks optimization algorithm for reusable launch vehicle reentry trajectory optimization with no-fly zones

A non-iterative design for aileron to rudder interconnect gain

Review on guidance and control of aerospace vehicles: recent progress and prospect

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