Airfoil Optimization of Land-Yacht Robot Based on Hybrid PSO and GA

Chen, Jiqing; Li, Hengyu

doi:10.1142/s0218001419590419

Cited by 6 publications

(5 citation statements)

References 17 publications

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“…Although UG has a dynamic analysis module, the analysis function is weak and needs to be completed using professional dynamic simulation software. 13,14 Adams is one of the most widely used mechanical dynamics simulation software in the world and is very powerful. Therefore, Adams powerful mechanical dynamics can be used to dynamically simulate the fighting robot.…”

Section: Simplification and Establishment Of Small Humanoid Fighting mentioning

confidence: 99%

RETRACTED: Design of small humanoid fighting robot based on target recognition algorithm

Wang

Jia²

2020

International Journal of Advanced Robotic Systems

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In the past, robots can only do simple walking, but now robots can perform complex actions such as running, attacking and automatically standing up after falling to the ground. The humanoid robot competition is very interesting and has great significance for the study. The speed and accuracy of robots in domestic competitions still need to be improved. In this article, a design scheme of a small humanoid fighting robot based on the target recognition algorithm is proposed. In this article, a design scheme of a small humanoid fighting robot based on the target recognition algorithm is proposed, for the case where the mobile robot has a low recognition rate in a complicated working environment. In this article, based on the matching of single colour features, the matching of shapes is added to more accurately identify the target. In addition, visual information added to achieve information fusion, the algorithm is simpler and can achieve positioning more quickly and effectively. The humanoid robot is to detect different states of the target, and needs to measure the target, trajectory of the target and analyse the target motion. In the era of popular 5G networks, it is hoped that in the future, robots that use 5G networks for communication can be designed, so that robots can be remotely controlled anytime and anywhere. There will be more kinds of robots entering our lives, which will promote the construction and application of smart homes and smart cities.

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Section: Simplification and Establishment Of Small Humanoid Fighting mentioning

confidence: 99%

RETRACTED: Design of small humanoid fighting robot based on target recognition algorithm

Wang

Jia²

2020

International Journal of Advanced Robotic Systems

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“…The correctness of the mathematical model is significantly impacted by the SVM's σ bandwidth and the penalty factor C Composed during the solution process, according to studies [21], and establishing the parameter values by trial calculations has a significant blind spot. PSO [23,24] is introduced in this research. Each particle in this algorithm represents a potential solution, and its position reflects the fitness value the fitness function determined.…”

Section: Optimization Solution Based On Psomentioning

confidence: 99%

Particle Swarm Optimization of Support Vector Machine Inversion Model for Overhead Upright Piers Damage-Inducing Factor

Zhou,

Tang,

et al. 2023

Advances in Civil Engineering

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In the Three Gorges reservoir area, the overhead upright pier is the primary structural form. For intelligent monitoring of existing terminals, this research chooses Chongqing Xintian Port as the study object and proposes a support vector machine (SVM) damage-inducing factor (DIF) inversion model based on particle swarm optimization (PSO). To apply the finite element method to analyze the stress distribution characteristics of quay pile groups under three main DIFs, including the stacking effect, ship impact load effect, and bank slope effect. After characterizing the stress data, it becomes evident that there exists a correlation between stress and each DIF parameter. Before generating the training sample set, principal component analysis is employed to reduce dimensionality and eliminate a substantial amount of redundant data. The model has an accuracy of 0.999 for the identification of the type of DIF and 0.975 for the identification of the location of the action of the DIF with F1 coefficients of 0.999 and 0.978, respectively. For the strength of DIF predictions, MAE and MSE were 4.871 and 1.202, respectively, R2 was 0.986, NSE was 0.986, WI was 0.996, and PBIAS was 0.095. After extracting every sample, the relative error for the ship impact load effect is 0.05, and the highest relative error for the bank slope effect is 0.02; the error for the stacking effect is limited to 0.08. The results suggest that the damage inducement inversion model of the SVM optimized by the PSO algorithm can effectively identify the DIF of the overhead upright pier.

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“…The optimization process is time-consuming and sensitive to population initialization. The combined use of GA and PSO algorithms improves the shortcoming that easily falls into the local extreme value and slow operation speed of the GA algorithm and improves the operation accuracy of the PSO algorithm (Bi and Qiu, 2019;Chen and Li, 2019).…”

Section: Validation Of Mre Constitutive Model Parameter Identification Optimization Algorithmmentioning

confidence: 99%

Modified Bouc-Wen Model Based on Fractional Derivative and Application in Magnetorheological Elastomer

et al. 2021

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To accurately characterize the mechanical behavior of magnetorheological elastomer (MRE) under a wide range of strain amplitude, excitation frequency, and magnetic field, the viscoelastic fractional derivative was introduced, and a modified Bouc-Wen model based on fractional derivative for MRE in a nonlinear viscoelastic region was established. The Bouc-Wen model can accurately describe the hysteretic characteristics of the MRE nonlinear viscoelastic region, but it cannot accurately simulate magneto-viscoelasticity and frequency dependence. The fractional derivative can express this characteristic with fewer parameters and higher accuracy. The model’s validity was verified by fitting the experimental data of stress and strain measured in shear mode. By analyzing the coupling relationship between the model parameters and strain amplitude, frequency, and magnetic flux densities, a method of parameter identification under multi-loading conditions was proposed, and the modified model parameters were identified. The results reveal that the modified Bouc-Wen model can accurately characterize the mechanical properties of the nonlinear viscoelastic region of MRE, and the fitting accuracy is significantly improved compared with the Bouc-Wen model. The expression of the model parameters obtained from the method of parameter identification under multi-loading conditions is accurate in a wide range of strain amplitude, frequency, and magnetic flux density. The fitness values of simulation data and experimental data under identified and non-identified conditions exceed 90%, showcasing the effectiveness of the modified Bouc-Wen model and the feasibility of the parameter identification method under multi-loading conditions.

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Airfoil Optimization of Land-Yacht Robot Based on Hybrid PSO and GA

Cited by 6 publications

References 17 publications

RETRACTED: Design of small humanoid fighting robot based on target recognition algorithm

RETRACTED: Design of small humanoid fighting robot based on target recognition algorithm

Particle Swarm Optimization of Support Vector Machine Inversion Model for Overhead Upright Piers Damage-Inducing Factor

Modified Bouc-Wen Model Based on Fractional Derivative and Application in Magnetorheological Elastomer

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