Sensitivity analysis and parameter optimization of energy consumption for underwater gliders

Yang, Song; Wang, Yanhui; Yang, Shaoqiong; Wang, Shuxin; Yang, Ming

doi:10.1016/j.energy.2019.116506

Cited by 49 publications

(10 citation statements)

References 21 publications

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“…Compared with other global sensitivity analysis methods, Sobol's method can quantitatively analyze the impact of input variables on system output. Its outstanding advantage is that it has no special requirements for analysis function and has a wide range of applications [21]. The core idea of Sobol's method is to decompose the model into a single parameter and functions composed of parameters.…”

Section: Parameter Sensitivity Analysis Based On Sobol's Methodsmentioning

confidence: 99%

Multi-Objective Optimization of Parameters of Channels with Staggered Frustum of a Cone Based on Response Surface Methodology

Zhao

Gao

et al. 2022

Energies

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In this study, Response Surface Methodology (RSM) and multi-objective genetic algorithm were used to obtain optimum parameters of the channels with frustum of a cone with better flow and heat transfer performance. Central composite face-centered design (CCF) was applied to the experimental design of the channel parameters, and on this basis, the response surface models were constructed. The sensitivity of the channel parameters was analyzed by Sobol’s method. The multi-objective optimization of the channel parameters was carried out with the goal of achieving maximum Nusselt number ratio (Nu/Nu0) and minimum friction coefficient ratio (f/f0). The results show that the root mean square errors (RSME) of the fitted response surface models are less than 0.25 and the determination coefficients (R2) are greater than 0.93; the models have high accuracy. Sobol’s method can quantitatively analyze the influence of the channel parameters on flow and heat transfer performance of the channels. When the response is Nu/Nu0, from high to low, the total sensitivity indexes of the channel parameters are frustum of a cone angle (α), Reynolds number (Re), spanwise spacing ratio (Z2/D), and streamwise spacing ratio (Z1/D). When the response is f/f0, the total sensitivity indexes of the channel parameters from high to low are Re, Z1/D, α and Z2/D. Four optimization channels are selected from the Pareto solution set obtained by multi-objective optimization. Compared with the reference channel, the Nu/Nu0 of the optimized channels is increased by 21.36% on average, and the f/f0 is reduced by 9.16% on average.

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Section: Parameter Sensitivity Analysis Based On Sobol's Methodsmentioning

confidence: 99%

Multi-Objective Optimization of Parameters of Channels with Staggered Frustum of a Cone Based on Response Surface Methodology

Zhao

Gao

et al. 2022

Energies

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“…At present, many energy consumption models of underwater gliders have been established successfully. For some previous models, 21,50 the input parameters of energy consumption models are the glider motion parameters, such as the glider velocity and attitude angles. The above models cannot be directly used for determining the control parameters values that make the glider have the higher energy utilization rate.…”

Section: Performance Evaluation Methodsmentioning

confidence: 99%

“…Besides, we let q v and q p denote the flow rate of the solenoid valve and the hydraulic pump, respectively. According to the previous work of our research team, 50 p p and q p are related to the glider motion depth, and we have…”

Section: Performance Evaluation Methodsmentioning

confidence: 99%

Multi-objective optimization for control parameters of underwater gliders considering effect of uncertain input errors

Niu

Wang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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In actual application, the energy utilization rate of underwater glider directly affects the total voyage range. When underwater glider is used for executing exploration mission for a fixed point, the position that the glider resurfaces should be accurate enough. In this paper, we employ a multi-objective optimization method to determine the control parameters values that can maximize the position accuracy that the glider resurfaces and the energy utilization rate simultaneously. Especially, the optimization of this paper considers the effect of uncertain input errors. The control parameters include the net buoyancy adjustment amount and the movable mass block translation amount. The input errors include the control parameters errors, the motion depth error and the current. Based on the dynamic model of an underwater glider, we propose the calculation model and evaluation flow that are used for analyzing the glider position accuracy and energy utilization rate, considering the effect of uncertain input errors. Besides, a combinatorial experimental design method is proposed to calculate the performance evaluation parameters under different control parameters values. Then the radial basis function neural network is employed to establish the surrogate models of performance evaluation parameters to participate in the optimization calculation, which can improve the optimization efficiency. After optimization calculation based on the non-dominated sorting genetic algorithm II, we obtain a Pareto optimal set consisting of 257 sets of non-dominated solutions. Finally, the selection rule of optimal control parameters values is given, and the optimization results are validated under 3 sets of solutions. This research may be valuable for the improvement of the glider work quality.

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“…They claimed that the MIS can increase the buoyancy compensation by 69.69% and increase battery capacity of the glider by 12.89%. In 2020 Song, et al [26] established an accurate energy consumption and a gliding range model of gliders to study an optimized the most influencing parameters. Their model increases the optimal gliding range by 11.97% compared with the gliding range in the actual sea trial.…”

Section: A Bodymentioning

confidence: 99%

Experimental analysis on hydrodynamic coefficients of an underwater glider with spherical nose for dynamic modeling and motion simulation

et al. 2021

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In this paper, we present a study of an underwater glider with a cylindrical body, a conical end shape and a spherical nose with NACA0009 airfoil wings. In the experimental section, we investigate the hydrodynamic coefficients of drag and lift as well as the torque on the glider then analyze the launch velocity, launch angles, angular velocity, and displacement range as the main parameters for evaluating of motion dynamics. In the numerical section, we investigate the optimal performance of the glider using the meta-heuristic optimization method in order to find the path and range of motion of the moving mass and control of the sea glider, which is very important for navigation scope. To be specific, body and wings hydrodynamic coefficients are obtained in the velocity range of [0.2, 1] $$m/s$$ m / s ; According to the results, the drag coefficient increases with increasing velocity, while the lift coefficient increases up to velocity of $$0.8 m/s$$ 0.8 m / s , then decreases at velocity of $$1 m/s$$ 1 m / s . Also, the wing drag coefficient decreases with increasing velocity, while the wing lift coefficient increases with increasing velocity. In the next step, in order to calculate an optimum ratio between obtained depth and horizontal distance, the designed algorithm investigate the glider launch angle and finally, the 10 degrees launch angle is chosen as the optimum angle. Subsequently, the analysis performed on mass center displacement range shows that the oscillation interval $$[- 0.045, 0.085]$$ [ - 0.045 , 0.085 ] $$m$$ m is an optimum displacement domain.

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Sensitivity analysis and parameter optimization of energy consumption for underwater gliders

Cited by 49 publications

References 21 publications

Multi-Objective Optimization of Parameters of Channels with Staggered Frustum of a Cone Based on Response Surface Methodology

Multi-Objective Optimization of Parameters of Channels with Staggered Frustum of a Cone Based on Response Surface Methodology

Multi-objective optimization for control parameters of underwater gliders considering effect of uncertain input errors

Experimental analysis on hydrodynamic coefficients of an underwater glider with spherical nose for dynamic modeling and motion simulation

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