Resource Type

Journal Article 341

Year

2023 20

2022 19

2021 23

2020 15

2019 21

2018 17

2017 24

2016 18

2015 17

2014 20

2013 12

2012 12

2011 5

2010 9

2009 11

2008 17

2007 20

2006 21

2005 8

2004 7

open ︾

Keywords

genetic algorithm 33

algorithm 14

optimization 14

neural network 6

Genetic algorithm 4

artificial neural network 3

meta-heuristic algorithm 3

Algorithm 2

BP algorithm 2

BP neural network 2

Consensus 2

FEM 2

HY-2 2

Support vector machine (SVM) 2

artificial bee colony algorithm 2

cogeneration 2

different 2

economic dispatch (ED) 2

generation 2

open ︾

Search scope:

排序： Display mode:

Control algorithm of a servo platform

Shouyong XIE, Xiwen LI, Shuzi YANG, Mingjin YANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 3,   Pages 353-355 doi: 10.1007/s11465-010-0098-6

Abstract: three-axis servo platform, this paper presents an improved grey prediction proportional integral derivative (PID) control algorithm.Different weights at different time are given to different sampling moments in the algorithm, and theSimulation results show that the performance of response and stability of the platform of the improved algorithmThe control algorithm meets all requirements of the control system of the special-purpose three-axis

Keywords： grey prediction     proportional integral derivative (PID) control     improved algorithm     weight     servo platform    

HTML PDF Collect

The research and design of intelligent autonomous tracing car measurement and control system

Wang Ling,Zhang Qiang and Li Xuemei

Strategic Study of CAE 2014, Volume 16, Issue 3,   Pages 92-98

Abstract: Excellent control algorithm plays a key role for intelligent car tracing accuracy and stability.This paper uses fuzzy proportion-integration-differentiation（PID）control strategy to control direct current（DC）motor speed，using double P control algorithm to control the steering of the intelligent car steering

Keywords： intelligent car     measurement and control system     fuzzy PID control     double P control algorithm    

HTML PDF Collect

Structural design of morphing trailing edge actuated by SMA

Qi WANG, Zhiwei XU, Qian ZHU

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 3,   Pages 268-275 doi: 10.1007/s11465-013-0261-y

Abstract:

In this paper, the morphing trailing edge is designed to achieve the up and down deflection under the aerodynamic load. After a detailed and accurate computational analysis to determine the SMA specifications and layout programs, a solid model is created in CATIA and the structures of the morphing wing trailing edge are produced by CNC machining. A set of DSP measurement and control system is designed to accomplish the controlling experiment of the morphing wing trailing edge. At last, via the force analysis, the trailing edge is fabricated with four sections of aluminum alloy, and the arrangement scheme of SMA wires is determined. Experiment of precise control integral has been performed to survey the control effect. The experiment consists of deflection angle tests of the third joint and the integral structure. Primarily, the ultimate deflection angle is tested in these two experiments. Therefore, the controlling experiment of different angles could be performed within this range. The results show that the deflection error is less than 4% and response time is less than 6.7 s, the precise controlling of the morphing trailing edge is preliminary realized.

Keywords： morphing wing trailing edge     shape memory alloy     digital signal processor     PID algorithm    

HTML PDF Collect

Convergence performance comparisons of PID, MRAC, and PID+MRAC hybrid controller

Dan ZHANG,Bin WEI

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 2,   Pages 213-217 doi: 10.1007/s11465-016-0386-x

Abstract:

This study proposes a hybrid controller by combining a proportional-integral-derivative (PID) controland a model reference adaptive control (MRAC), which named as PID+MRAC controller.The convergence performances of the PID control, MRAC, and hybrid PID+MRAC are also compared.simulation in Matlab, the results show that the convergence speed and performance of the MRAC and the PID+MRAC controller are better than those of the PID controller.

Keywords： proportional-integral-derivative (PID) control     model reference adaptive control     hybrid control     convergence    

HTML PDF Collect

A hybrid LQR-PID control design for seismic control of buildings equipped with ATMD

Amir Hossein HEIDARI, Sadegh ETEDALI, Mohamad Reza JAVAHERI-TAFTI

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 1,   Pages 44-57 doi: 10.1007/s11709-016-0382-6

Abstract: an efficient hybrid control approach through combining the idea of proportional-integral-derivative (PID) controller and linear quadratic regulator (LQR) control algorithm.The proposed LQR-PID controller, while having the advantage of the classical PID controller, is easyUsing an optimization procedure based on a cuckoo search (CS) algorithm, the LQR-PID controller is designedConsidering four earthquakes, the performance of the proposed LQR-PID controller is evaluated.

Keywords： seismic control     tuned mass dampers     cuckoo search     PID controller     LQR controller    

HTML PDF Collect

Frequency-domain-based Robustness Analysis for PID Generalized Predictive Control

Wang Fanzhen,Chen Zengqiang,Yao Xiangfeng,Yuan Zhuzhi

Strategic Study of CAE 2006, Volume 8, Issue 10,   Pages 66-70

Abstract:

The closed-loop feedback structure of PID generalized predictive control (PID - GPC) is proposed,then small-gain criterion is used to obtain a sufficient condition for the robust stability of PID -Further more, the influence of PID - GPC parameter tuning on its robustness is analyzed in frequency

Keywords： predictive control     robustness     frequency domain     small-gain criterion     PID control    

HTML PDF Collect

PID neural network control of a membrane structure inflation system

Qiushuang LIU, Xiaoli XU

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 418-422 doi: 10.1007/s11465-010-0117-7

Abstract: Because it is difficult for the traditional PID algorithm for nonlinear time-variant control objectsto obtain satisfactory control results, this paper studies a neuron PID controller.The neuron PID controller makes use of neuron self-learning ability, complies with certain optimum indicators, and automatically adjusts the parameters of the PID controller and makes them adapt to changes in theThe PID controller is used to control a nonlinear time-variant membrane structure inflation system.

Keywords： PID     neural network     membrane structure    

HTML PDF Collect

Using improved particle swarm optimization totune PID controllers in cooperative collision avoidance Article

Xing-chen WU, Gui-he QIN, Ming-hui SUN, He YU, Qian-yi XU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9,   Pages 1385-1395 doi: 10.1631/FITEE.1601427

Abstract: The introduction of proportional-integral-derivative (PID) controllersinto cooperative collision avoidanceInthis paper, we propose a method to optimize PID controllers usingan improved particle swarm optimization(PSO) algorithm, and to bettermanipulate cooperative collision avoidance with other vehicles.use PRESCAN and MATLAB/Simulink to conduct a united simulation,which constructs a CCAS composed of a PIDThen we apply the improvedPSO algorithm to optimize the PID controller based on the dynamicvehicle data

Keywords： Cooperative collision avoidance system (CCAS)     Improved particle swarm optimization (PSO)     PID controller    

HTML PDF Collect

Design of a fractional PI None

Pritesh SHAH, Sudhir AGASHE, Anand J. KULKARNI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 3,   Pages 437-445 doi: 10.1631/FITEE.1601495

Abstract: method for the first time to optimize the parameters of the fractional proportionalintegral-derivative (PIDThe performance of the CI method in designing the fractional PID controller was validated and comparedwith those of some other popular algorithms such as particle swarm optimization, the genetic algorithm, and the improved electromagnetic algorithm.In addition, the standard deviations of the CI method demonstrated the robustness of the proposed algorithm

Keywords： Cohort intelligence     Fractional calculus     Fractional PID controller     Tuning    

HTML PDF Collect

Bifurcation-based fractional-order PI None

Karima RABAH, Samir LADACI, Mohamed LASHAB

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2,   Pages 180-191 doi: 10.1631/FITEE.1601543

Abstract: We propose a novel approach called the robust fractional-order proportional-integral-derivative (FOPID) controller, to stabilize a perturbed nonlinear chaotic system on one of its unstable fixed points. The stability analysis of the nonlinear chaotic system is made based on the proportional-integral-derivative actions using the bifurcation diagram. We extract an initial set of controller parameters, which are subsequently optimized using a quadratic criterion. The integral and derivative fractional orders are also identified by this quadratic criterion. By applying numerical simulations on two nonlinear systems, namely the multi-scroll Chen system and the Genesio-Tesi system, we show that the fractional PIλDμ controller provides the best closed-loop system performance in stabilizing the unstable fixed points, even in the presence of random perturbation.

Keywords： Fractional order system     Bifurcation diagram     Fractional PIλDμ controller     Multi-scroll Chen chaotic system     Genesio-Tesi chaotic system    

HTML PDF Collect

Designing a novel consensus protocol formultiagent systemswith general dynamics under directed networks Article

Hao-liang LI, Ren-nong YANG, Qiu-ni LI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8,   Pages 1071-1081 doi: 10.1631/FITEE.1601422

Abstract: First, a novel consensus protocol based on proportional-integral-derivative (PID) control is proposedSimulation results show the effectiveness of the proposed algorithm.

Keywords： Multi-agent     Consensus     PID control     Linear matrix inequality    

HTML PDF Collect

A novel high-temperature and high-pressure hydraulic pump based on mononeuron control

Linhui ZHAO, Xin FANG

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2,   Pages 219-223 doi: 10.1007/s11465-009-0024-y

Abstract: A mononeuron self-adaptive PID control algorithm is also improved by modifying parameters and .

Keywords： mononeuron PID control     hydraulic pump     pressure fluctuation    

HTML PDF Collect

Optimization and its realization of anneal-genetic algorithm

Wang Ying

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 57-59

Abstract:

A method that uses annealing algorithm to improve the inefficient localsearch of genetic algorithm is proposed.The algorithm optimization is more rapidly in precision after annealing algorithm integration with thegenetic algorithm.By examples of cement ratio works, compared with results of the simple algorithm, it is effectively.

Keywords： genetic algorithm     simulated annealing algorithm     genetic algorithm improvement    

HTML PDF Collect

Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 313-316 doi: 10.1007/s11465-006-0026-y

Abstract: A multiobjective image recognition algorithm based on clustering Genetic Algorithm (GA), is proposedExperimental results demonstrated that the number of target images could be determined by the algorithm

Keywords： clustering     different     recognition algorithm     Algorithm     multiobjective    

HTML PDF Collect

Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic algorithms

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 57-74 doi: 10.1007/s11709-021-0784-y

Abstract: obtained by classical metaheuristic algorithms and a gradient descent-based hyperband optimization (HBO) algorithm

Keywords： steel dome optimization     water strider algorithm     grey wolf algorithm     brain storm optimization algorithm     hyperband optimization algorithm    

HTML PDF Collect

Title Author Date Type Operation

Control algorithm of a servo platform

Shouyong XIE, Xiwen LI, Shuzi YANG, Mingjin YANG,

Journal Article

The research and design of intelligent autonomous tracing car measurement and control system

Wang Ling,Zhang Qiang and Li Xuemei

Journal Article

Structural design of morphing trailing edge actuated by SMA

Qi WANG, Zhiwei XU, Qian ZHU

Journal Article

Convergence performance comparisons of PID, MRAC, and PID+MRAC hybrid controller

Dan ZHANG,Bin WEI

Journal Article

A hybrid LQR-PID control design for seismic control of buildings equipped with ATMD

Amir Hossein HEIDARI, Sadegh ETEDALI, Mohamad Reza JAVAHERI-TAFTI

Journal Article

Frequency-domain-based Robustness Analysis for PID Generalized Predictive Control

Wang Fanzhen,Chen Zengqiang,Yao Xiangfeng,Yuan Zhuzhi

Journal Article

PID neural network control of a membrane structure inflation system

Qiushuang LIU, Xiaoli XU

Journal Article

Using improved particle swarm optimization totune PID controllers in cooperative collision avoidance

Xing-chen WU, Gui-he QIN, Ming-hui SUN, He YU, Qian-yi XU

Journal Article

Design of a fractional PI

Pritesh SHAH, Sudhir AGASHE, Anand J. KULKARNI

Journal Article

Bifurcation-based fractional-order PI

Karima RABAH, Samir LADACI, Mohamed LASHAB

Journal Article

Designing a novel consensus protocol formultiagent systemswith general dynamics under directed networks

Hao-liang LI, Ren-nong YANG, Qiu-ni LI

Journal Article

A novel high-temperature and high-pressure hydraulic pump based on mononeuron control

Linhui ZHAO, Xin FANG

Journal Article

Optimization and its realization of anneal-genetic algorithm

Wang Ying

Journal Article

Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Journal Article

Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic algorithms

Journal Article