Uncertainty analysis and design optimization of solid rocket motors with finocyl grain

Zhu, Hao; Luo, Hui; Wang, Pengcheng; Cai, Guobiao; Feng, Hao

doi:10.1007/s00158-020-02728-8

Cited by 9 publications

(3 citation statements)

References 25 publications

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“…the uncertainty using Monte Carlo simulation and performed RBRD mass of solid rocket motors [23]. Jang et al performed RBRDO of I manufacturing and material uncertainty.…”

Section: Electromagnetic-structural Coupled Analysismentioning

confidence: 99%

“…Kim et al conducted an RBRDO study of BLDC motors and reduced the cogging torque and the failure rate of output torque [22]. Hao et al calculated the uncertainty using Monte Carlo simulation and performed RBRDO to minimize the mass of solid rocket motors [23]. Jang et al performed RBRDO of IPMSM considering manufacturing and material uncertainty.…”

Section: Introductionmentioning

confidence: 99%

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Reliability-Based Robust Design Optimization for Maximizing the Output Torque of Brushless Direct Current (BLDC) Motors Considering Manufacturing Uncertainty

et al. 2022

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In recent years, the deterministic design optimization method has been widely used to improve the output performance of brushless direct current (BLDC) motors. However, it does not contribute to reducing the failure rate and performance variation of products because it cannot determine the manufacturing uncertainty. In this study, we proposed reliability-based robust design optimization to improve the output torque of a BLDC motor while reducing the failure rate and performance variation. We calculated the output torque and vibration response of the BLDC motor using the electromagnetic–structural coupled analysis. We selected the tooth thickness, slot opening width, slot radius, slot depth, tooth width, magnet thickness, and magnet length as the design variables related to the shape of the stator and rotor that affect the output torque. We considered the distribution of design variables with manufacturing tolerances. We performed a reliability analysis of the BLDC motor considering the distribution of design variables with manufacturing tolerances. Using the reliability analysis results, we performed reliability-based robust design optimization (RBRDO) to maximize the output torque; consequently, the output torque increased by 8.8% compared to the initial BLDC motor, the standard deviation in output performance decreased by 46.9% with improved robustness, and the failure rate decreased by 99.2% with enhanced reliability. The proposed reliability-based robust design optimization is considered to be useful in the actual product design field because it can evaluate both the reliability and robustness of the product and improve its performance in the design stage.

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“…the uncertainty using Monte Carlo simulation and performed RBRD mass of solid rocket motors [23]. Jang et al performed RBRDO of I manufacturing and material uncertainty.…”

Section: Electromagnetic-structural Coupled Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reliability-Based Robust Design Optimization for Maximizing the Output Torque of Brushless Direct Current (BLDC) Motors Considering Manufacturing Uncertainty

et al. 2022

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“…The optimization problem with interval coefficients comes under interval optimization, named interval optimization problem (IOP), is indispensable in dealing with many real-life uncertain problems. Some applications of interval optimization in real life can be found in [8,9,10].…”

Section: Introductionmentioning

confidence: 99%

Generalized Hukuhara Dini Hadamard $\epsilon$-subdifferential and $H_{\epsilon}$-subgradient and their applications in interval optimization

2024

J. Appl. Numer. Optim.

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In this paper, we develop and analyze the concepts of gH-Dini Hadamard ε-subdifferential and H ε -subgradient for interval-valued functions (IVFs). Some important characteristics of gH-Dini Hadamard ε-subdifferential such as closedness, convexity, and monotonicity are studied. The interrelations between gH-subgradient and gH-Dini Hadamard ε-subgradient, and between gH-Fréchet derivative and gH-Dini Hadamard ε-subdifferential are investigated. To define the concept of H ε -subgradient, the notions of the sponge of a set around a point and gH-calm IVF at a point are studied. A variational description of gH-Dini Hadamard ε-subgradient with H ε -subgradient is proposed. Various necessary and sufficient conditions for obtaining an ε-efficient solution to an interval optimization problem (IOP) with the help of gH-Dini Hadamard ε-subgradient of an IVF are derived. Lastly, an application of proposed results is discussed in the sparsity regularizer for IOPs.

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A new propulsion system GUI based control amenable model development for high‐power rockets

Prajapati,

Thakar,

Markana

2024

Adv Control Appl

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SummaryThis paper proposes a new algorithm to model and characterize an autonomous high‐power rocket using an indigenously developed graphical user interface (GUI) platform. This platform features a newly devised app, termed as THIEC Rocketry App which embeds the simulation based analysis to determine the design parameters of the rocket, required for a vertical flight. A solid propellant using potassium nitrate and sucrose, also known as rocket‐candy, is considered for the GUI development. The GUI facilitates the designer to specify the desired flight parameters for the rocket propulsion system. Various characteristic plots for visualization and analysis are made available in GUI. The obtained parameters from the GUI are then utilized in computer‐aided designing (CAD) for further identification of geometrical parameters like inertia tensor, center of gravity (CG) and center of pressure (CP). The mathematical control amenable model of the rocket is then developed using first principles so as to achieve an altitude up to 3 km. The overall system represents a complex nonlinear multi‐input multi‐output (MIMO) dynamics, having six degrees of freedom. The Newton‐Euler formulation is employed to develop the equations of motion. The attitude control using canards is analyzed via simulations for the complete flight path ‐ the boost and coast flights. Finally, the developed GUI based model is validated by practically manufacturing the components of the propulsion system for the small‐scale high‐power rocket. The proposed model will create the pathway for the development of some robust model‐based control schemes for such autonomous rockets in future.

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Uncertainty analysis and design optimization of solid rocket motors with finocyl grain

Cited by 9 publications

References 25 publications

Reliability-Based Robust Design Optimization for Maximizing the Output Torque of Brushless Direct Current (BLDC) Motors Considering Manufacturing Uncertainty

Reliability-Based Robust Design Optimization for Maximizing the Output Torque of Brushless Direct Current (BLDC) Motors Considering Manufacturing Uncertainty

Generalized Hukuhara Dini Hadamard $\epsilon$-subdifferential and $H_{\epsilon}$-subgradient and their applications in interval optimization

A new propulsion system GUI based control amenable model development for high‐power rockets

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