An effective hybrid approach of desirability, fuzzy logic, ANFIS and LAPO algorithm for optimizing compliant mechanism

Tran, Ngoc Thoai; Chau, Ngoc Le; Dao, Thanh-Phong

doi:10.1007/s00366-020-00963-7

Cited by 8 publications

(5 citation statements)

References 45 publications

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“…Figure 7 shows the optimization results of each iteration of IGA, in which the black line represents the hammerheads optimization results of IGA curve, where each point of the curve is equal to the sum of the remaining four curves, and the red line represents the x direction component force in plane Ι. e blue line represents the y direction component force in plane Ι, the orange line represents the x direction component force in plane ΙΙ, and the green line represents y direction component force in plane Ι. Figure 8 shows the comparison of the two algorithms (IGA and ACO), where ACO is the result of the previous paper's algorithm running well once [10]. It can be seen from Figures 7 and 8 that the algorithm is convergent after 450 iterations.…”

Section: Simulation Verification and Discussionmentioning

confidence: 99%

“…e fuzzy-logic-based Taguchi method is an effective approach for optimizing the multiple quality characteristics of compliant mechanisms [8][9][10]. For the MTSP problem, various optimization algorithms, such as ant colony algorithm (ACO), genetic algorithm (GA), simulated annealing algorithm (SA), artificial bee colony algorithm (ABC), artificial neural network (ANN), and particle swarm optimization (PSO), are all studying the optimization and improvement of the problem.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimization and Design of Hammerheads and Fenders on Scrap Metal Shredders Based on Improved Genetic Algorithm

Tian

Wang

Sun

et al. 2021

Shock and Vibration

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Dynamic unbalance force is an important factor affecting the service life of scrap metal shredders (SMSs) as the product of mass error. Due to the complexity of hammerheads arrangement, it is difficult to take all the parts of the hammerhead into account in the traditional methods. A novel optimization algorithm combining genetic algorithm and simulated annealing algorithm is proposed to improve the dynamic balance of scrap metal shredders. The optimization of hammerheads and fenders on SMS in this paper is considered as a multiple traveling salesman problem (MTSP), which is a kind of NP-hard problem. To solve this problem, an improved genetic algorithm (IGA) combined with the global optimization characteristics of genetic algorithm (GA) and the local optimal solution of simulated annealing algorithm (SA) is proposed in this paper, which adopts SA in the process of selecting subpopulations. The optimization results show that the resultant force of the shredder central shaft by using IGA is less than the traditional metaheuristic algorithm, which greatly improves the dynamic balance of the SMS. Validated via ADAMS simulation, the results are in good agreement with the theoretical optimization analysis.

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Section: Simulation Verification and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization and Design of Hammerheads and Fenders on Scrap Metal Shredders Based on Improved Genetic Algorithm

Tian

Wang

Sun

et al. 2021

Shock and Vibration

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“…where T p e (ω) denotes the transfer matrix of the pth discretized constant beam element (p = 1, …, N) and can be calculated using Equation (2). R p denotes the coordinate transformation matrix of the pth discretized constant beam element.…”

Section: Definition Of the Elemental Transfer Matrixmentioning

confidence: 99%

“…Exploration of methods for modeling kinetostatic and dynamic behaviors of compliant mechanisms and rigid‐body mechanical systems has been an interesting technological subject though software packages are commercially available 1–6 . A process‐efficient, result‐accurate, and parameter‐insightful modeling methodology is often desirable.…”

Section: Introductionmentioning

confidence: 99%

Enabling the transfer matrix method to model serial–parallel compliant mechanisms including curved flexure beams

Ling,

Yuan,

Zeng

et al. 2024

Int Journal of Mech Sys Dyn

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Compliant mechanisms with curved flexure hinges/beams have potential advantages of small spaces, low stress levels, and flexible design parameters, which have attracted considerable attention in precision engineering, metamaterials, robotics, and so forth. However, serial–parallel configurations with curved flexure hinges/beams often lead to a complicated parametric design. Here, the transfer matrix method is enabled for analysis of both the kinetostatics and dynamics of general serial–parallel compliant mechanisms without deriving laborious formulas or combining other modeling methods. Consequently, serial–parallel compliant mechanisms with curved flexure hinges/beams can be modeled in a straightforward manner based on a single transfer matrix of Timoshenko straight beams using a step‐by‐step procedure. Theoretical and numerical validations on two customized XY nanopositioners comprised of straight and corrugated flexure units confirm the concise modeling process and high prediction accuracy of the presented approach. In conclusion, the present study provides an enhanced transfer matrix modeling approach to streamline the kinetostatic and dynamic analyses of general serial–parallel compliant mechanisms and beam structures, including curved flexure hinges and irregular‐shaped rigid bodies.

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“…Among the classical approaches, we can list the Proportional-Integral-Derivative (PID) control [4][5][6], adaptive control [7,8], backstepping control [9,10] and Sliding Mode Control (SMC) [11]. Among the intelligent methods, neural networks [12][13][14] and fuzzy-logic approaches [15][16][17] are the most popular. In the approaches that combine the intelligent and classic methods, we can list adaptive neural network [18] and fuzzy sliding mode control [19].…”

Section: Background and Motivationmentioning

confidence: 99%

Adaptive Integral-Type Terminal Sliding Mode Tracker Based on Active Disturbance Rejection for Uncertain Nonlinear Robotic Systems With Input Saturation

Karami

Alattas

Mobayen³

et al. 2021

IEEE Access

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This paper proposes an adaptive integral-type terminal sliding mode tracking control approach based on the active disturbance rejection for uncertain nonlinear systems subject to input saturation and external disturbances. Its main objective is to achieve zero tracking error in the presence of external disturbances, parametric uncertainties and input saturation; ubiquitous problems in most practical engineering systems. The proposed approach combines the robustness and chattering-free dynamics of adaptive integraltype sliding mode control with the estimation properties of a nonlinear extended state observer. It also assumes the bounds of the input saturation to be unknown. The asymptotic stability of the closed-loop system in the presence of disturbances, uncertainties and input saturation is proven using the Lyapunov theorem. The effectiveness of the proposed approach is assessed using a flexible-link robotic manipulator. The obtained results confirmed the robustness and god tracking performance of the proposed approach. Robustness, chattering-free dynamics and good tracking performance albeit input saturation are among the main features INDEX TERMS Active disturbance rejection; nonlinear system; terminal sliding mode control; input saturation; flexible-link manipulator.

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An effective hybrid approach of desirability, fuzzy logic, ANFIS and LAPO algorithm for optimizing compliant mechanism

Cited by 8 publications

References 45 publications

Optimization and Design of Hammerheads and Fenders on Scrap Metal Shredders Based on Improved Genetic Algorithm

Optimization and Design of Hammerheads and Fenders on Scrap Metal Shredders Based on Improved Genetic Algorithm

Enabling the transfer matrix method to model serial–parallel compliant mechanisms including curved flexure beams

Adaptive Integral-Type Terminal Sliding Mode Tracker Based on Active Disturbance Rejection for Uncertain Nonlinear Robotic Systems With Input Saturation

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