Analytical Study and Empirical Validations on the Impact of Scale Factor Parameter of Differential Evolution Algorithm

This study designed an in-plane resonant micro-accelerometer based on electrostatic stiffness. The accelerometer adopts a one-piece proof mass structure; two double-folded beam resonators are symmetrically distributed inside the proof mass, and only one displacement is introduced under the action of acceleration, which reduces the influence of processing errors on the performance of the accelerometer. The two resonators form a differential structure that can diminish the impact of common-mode errors. This accelerometer realizes the separation of the introduction of electrostatic stiffness and the detection of resonant frequency, which is conducive to the decoupling of accelerometer signals. An improved differential evolution algorithm was developed to optimize the scale factor of the accelerometer. Through the final elimination principle, excellent individuals are preserved, and the most suitable parameters are allocated to the surviving individuals to stimulate the offspring to find the globally optimal ability. The algorithm not only maintains the global optimality but also reduces the computational complexity of the algorithm and deterministically realizes the optimization of the accelerometer scale factor. The electrostatic stiffness resonant micro-accelerometer was fabricated by deep dry silicon-on-glass (DDSOG) technology. The unloaded resonant frequency of the accelerometer resonant beam was between 24 and 26 kHz, and the scale factor of the packaged accelerometer was between 54 and 59 Hz/g. The average error between the optimization result and the actual scale factor was 7.03%. The experimental results verified the rationality of the structural design.

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Hybrid Scale Factor Approach Based Differential Evolution Algorithm

SSRN Electronic Journal ◽

10.2139/ssrn.3171513 ◽

2018 ◽

Author(s):

Mahesh Gochar ◽

Ravinder Singh

Keyword(s):

Differential Evolution ◽

Differential Evolution Algorithm ◽

Scale Factor ◽

Evolution Algorithm

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Exponential Scale-Factor based Differential Evolution Algorithm

2017 International Conference on Computer, Communications and Electronics (Comptelix) ◽

10.1109/comptelix.2017.8003993 ◽

2017 ◽

Cited By ~ 1

Author(s):

Rashmi Agarwal ◽

Harish Sharma ◽

Nirmala Sharma

Keyword(s):

Differential Evolution ◽

Differential Evolution Algorithm ◽

Scale Factor ◽

Evolution Algorithm

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Differential Evolution Algorithm-Based Iterative Sliding Mode Control of Underactuated Ship Motion

Computational Intelligence and Neuroscience ◽

10.1155/2021/4675408 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Huaran Yan ◽

Yingjie Xiao ◽

Qinrong Li ◽

Renqiang Wang

Keyword(s):

Sliding Mode Control ◽

Differential Evolution ◽

Parameter Optimization ◽

Sliding Mode ◽

Differential Evolution Algorithm ◽

Controller Parameter ◽

Optimization System ◽

Mode Control ◽

Evolution Algorithm ◽

The Impact

The differential evolution algorithm (DEA)-based iterative sliding mode control (ISMC) method was proposed for the path tracking problem of three-degree-of-freedom (3-DoF) underactuated ships under external interference, with the nonlinear separate model proposed by mathematical model group (MMG). To improve control quality and enhance robustness of the control system, a swarm intelligence optimization algorithm is used to design a controller parameter optimization system. The DEA was adopted in the system to solve the minimum system evaluation index function, and the optimal controller parameters are acquired. Considering the impact of chattering on the actual project, a chattering measurement function is defined in the controller design and used as an input of the controller parameter optimization system. Finally, the 5446TEU container ship is carried out for simulation. It is verified that the designed controller with strong robustness can effectively deal with the disturbances; meanwhile, the chattering of the output is significantly reduced, and the control rudder angle signal conforms to the actual operation requirements of the ship and is more in line with the engineering reality.

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