New parameter tuning method for LCC/LCC compensated IPT system with constant voltage output based on LC resonance principles

The optimization and tuning of parameters is very important for the performance of the PID controller. In this paper, a novel parameter tuning method based on the mind evolutionary algorithm (MEA) was presented. The MEA firstly transformed the problem solutions into the population individuals embodied by code and then divided the population into superior subpopulations and temporary subpopulations and used the similar taxis and dissimilation operations for searching the global optimal solution. In order to verify the control performance of the MEA, three classical functions and five typical industrial process control models were adopted for testing experiments. Experimental results indicated that the proposed approach was feasible and valid: the MEA with the superior design feature and parallel structure could memorize more evolutionary information, generate superior genes, and enhance the efficiency and effectiveness for searching global optimal parameters. In addition, the MEA-tuning method can be easily applied to real industrial practices and provides a novel and convenient solution for the optimization and tuning of the PID controller.

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Simple PID parameter tuning method based on outputs of the closed loop system

Chinese Journal of Mechanical Engineering ◽

10.3901/cjme.2016.0325.038 ◽

2016 ◽

Vol 29 (3) ◽

pp. 465-474 ◽

Cited By ~ 5

Author(s):

Jianda Han ◽

Zhiqiang Zhu ◽

Ziya Jiang ◽

Yuqing He

Keyword(s):

Closed Loop ◽

Parameter Tuning ◽

Loop System ◽

Closed Loop System ◽

Tuning Method

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Research on Adaptive PID Control for Load Simulator with Varying Load

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.568-570.1031 ◽

2014 ◽

Vol 568-570 ◽

pp. 1031-1035

Author(s):

Ju Tian ◽

Yao Chen

Keyword(s):

Pid Control ◽

Simple Structure ◽

Control Method ◽

Parameter Tuning ◽

Hardware In The Loop ◽

Tuning Method ◽

Hydraulic Load ◽

Variation Characteristics ◽

Load Simulator ◽

Adaptive Pid Control

The electro-hydraulic load simulator is an important equipment for aircraft hardware-in-the-loop simulation. An adaptive PID control method for compensating extraneous torque with simple structure and easy to implement is proposed according to the variation characteristics of load gradient in the load simulator. The control parameter tuning method is also given.

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New shunting parameter tuning method for piezoelectric damping based on measured electrical impedance

Smart Materials and Structures ◽

10.1088/0964-1726/9/6/318 ◽

2000 ◽

Vol 9 (6) ◽

pp. 868-877 ◽

Cited By ~ 44

Author(s):

Jaehwan Kim ◽

Yeon-Ho Ryu ◽

Seung-Bok Choi

Keyword(s):

Electrical Impedance ◽

Parameter Tuning ◽

Tuning Method

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Misalignment-Tolerant Series Hybrid with Active Adjustable Constant Current and Constant Voltage Output Wireless Charging System

Energies ◽

10.3390/en14227594 ◽

2021 ◽

Vol 14 (22) ◽

pp. 7594

Author(s):

Zhao-Wei Gong ◽

Jin-Gang Li ◽

Xiang-Qian Tong

Keyword(s):

Constant Current ◽

Outer Diameter ◽

Wireless Charging ◽

Constant Voltage ◽

Load Variations ◽

Charging System ◽

Voltage Output ◽

Operating Region ◽

Constant Output ◽

Output Characteristics

This paper presents a series hybrid wireless charging system with an active adjustable circuitry offering constant current and constant voltage output characteristics. The series hybrid system consists of the inductor–capacitor–capacitor (LCC) and series-series (SS) networks are used for improving charging pad misalignment tolerance. An active switch is employed to provide an adjustable CC and CV output for different battery charging stages. To demonstrate the performance of the proposed method, a 310 W prototype was built. A systematic optimization in the parameter of the proposed topology to achieve relative constant output was analyzed within a certain range of the designed operating region. The experimental results indicate that the output current fluctuation is less than 5% with load variations, and the output voltage fluctuation is less than 5% with load varying from 19 to 70 Ω, as the pick-up pads misaligned within 50% of the pad outer diameter.

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Genetic algorithm hyper-parameter optimization using Taguchi design for groundwater pollution source identification

Water Science & Technology Water Supply ◽

10.2166/ws.2018.059 ◽

2018 ◽

Vol 19 (1) ◽

pp. 137-146 ◽

Cited By ~ 1

Author(s):

Xuemin Xia ◽

Simin Jiang ◽

Nianqing Zhou ◽

Xianwen Li ◽

Lichun Wang

Keyword(s):

Genetic Algorithm ◽

Groundwater Pollution ◽

Parameter Tuning ◽

Pollution Source ◽

Heterogeneous Porous Media ◽

Optimization Approach ◽

Human Beings ◽

Transient Transport ◽

Tuning Method ◽

Pollutant Source

Abstract Groundwater pollution has been a major concern for human beings, since it is inherently related to people's health and fitness and the ecological environment. To improve the identification of groundwater pollution, many optimization approaches have been developed. Among them, the genetic algorithm (GA) is widely used with its performance depending on the hyper-parameters. In this study, a simulation–optimization approach, i.e., a transport simulation model with a genetic optimization algorithm, was utilized to determine the pollutant source fluxes. We proposed a robust method for tuning the hyper-parameters based on Taguchi experimental design to optimize the performance of the GA. The effectiveness of the method was tested on an irregular geometry and heterogeneous porous media considering steady-state flow and transient transport conditions. Compared with traditional GA with default hyper-parameters, our proposed hyper-parameter tuning method is able to provide appropriate parameters for running the GA, and can more efficiently identify groundwater pollution.

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