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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:

Measurement and control system for intelligent car is one of the key technologies in the design ofTake Freescale M9S12XS128microprocessor as the control core of the car，and infrared optical sensor toExcellent 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    

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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: This paper presents 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 easyConsidering four earthquakes, the performance of the proposed LQR-PID controller is evaluated.The simulation results indicate that the LQR-PID performs better than the LQR controller in reduction

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

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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.+MRAC controller are better than those of the PID controller.In addition, the convergence performance of the hybrid control is better than that of the MRAC control

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

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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    

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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., 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.and fast track the changes in the input signal with high control precision.

Keywords： PID     neural network     membrane structure    

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Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 149-156 doi: 10.1007/s11465-010-0008-y

Abstract: technology has been gradually employed to increase the automation and intelligence degree in quality controlusing statistical process control (SPC) method.In this paper, an SPC method based on a fuzzy adaptive resonance theory (ART) neural network is presentedThe fuzzy ART neural network is applied to recognize the special disturbance of the manufacturing processesART neural network can also be utilized to adaptively detect the abnormal patterns in the control chart

Keywords： statistical process control (SPC)     fuzzy adaptive resonance theory (ART)     histogram     control chart     time    

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Gained switching-based fuzzy sliding mode control for a discrete-time underactuated robotic system with

Hui LI, Ruiqin LI, Jianwei ZHANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 353-362 doi: 10.1007/s11465-020-0620-4

Abstract: This study proposes a gained switching-based discrete-time sliding mode control method to address thethe proposed method can effectively increase the convergence speed while guaranteeing chattering-free controlperformance of controlling underactuated robotic systems can be further improved by the adoption of fuzzy

Keywords： sliding-mode control     robot control     discrete-time uncertain systems     fuzzy logic    

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Semi-active fuzzy control of Lali Cable-Stayed Bridge using MR dampers under seismic excitation

Sajad JAVADINASAB HORMOZABAD, Amir K. GHORBANI-TANHA

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 3,   Pages 706-721 doi: 10.1007/s11709-020-0612-9

Abstract: In the present study, several semi-active Fuzzy Control Algorithms (FCAs) for vibration mitigation ofTwo innovative fuzzy rule-bases are introduced.A total of six different fuzzy rule-bases are utilized.The performance of fuzzy control systems is also compared with a sky-hook and a passive-on system.Therefore, the results can be regarded as a general guide to design semi-active fuzzy control systems

Keywords： semi-active control     Fuzzy Control Algorithm     cable-stayed bridge     MR damper     Lali Bridge    

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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.The 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    

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Application of fuzzy logic control algorithm as stator power controller of a grid-connected doubly-fed

Ridha CHEIKH, Arezki MENACER, Said DRID, Mourad TIAR

Frontiers in Energy 2013, Volume 7, Issue 1,   Pages 49-55 doi: 10.1007/s11708-012-0217-7

Abstract: This paper discusses the power outputs control of a grid-connected doubly-fed induction generator (DFIGThe DFIG structure control has a six diode rectifier and a PWM IGBT converter in order to control theDFIG are strictly controlled at a required level, which, in this paper, is realized with an optimized fuzzylogic controller based on the grid flux oriented control, which gives an optimal operation of the DFIGin sub-synchronous region, and the control of the stator power flow with the possibility of keeping

Keywords： doubly-fed induction generator (DFIG)     vector control     fuzzy logic controller     optimization     power factor    

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Comparative study of various artificial intelligence approaches applied to direct torque control of induction

Moulay Rachid DOUIRI, Mohamed CHERKAOUI

Frontiers in Energy 2013, Volume 7, Issue 4,   Pages 456-467 doi: 10.1007/s11708-013-0264-8

Abstract: induction motor drive to replace conventional hysteresis comparators and selection table, namely fuzzylogic, artificial neural network and adaptive neuro-fuzzy inference system (ANFIS).The simulated results obtained demonstrate the feasibility of the adaptive network-based fuzzy inferencesystem based direct torque control (ANFIS-DTC).Compared with the classical direct torque control, fuzzy logic based direct torque control (FL-DTC),

Keywords： adaptive neuro-fuzzy inference system (ANFIS)     artificial neural network     direct torque control (DTC)     fuzzy    

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Load frequency control in deregulated power system with wind integrated system using fuzzy controller

Yajvender Pal VERMA, Ashwani KUMAR

Frontiers in Energy 2013, Volume 7, Issue 2,   Pages 245-254 doi: 10.1007/s11708-012-0218-6

Abstract: This paper presents the analysis of load frequency control (LFC) of a deregulated two-area hydro-thermalpower system using fuzzy logic controller, with doubly fed induction generators (DFIGs) integrated intoboth the control areas.Deregulation creates highly competitive and distributed control environment, and the LFC becomes evendynamics of the system have been obtained for a small load perturbation, and for contract violation using fuzzy

Keywords： frequency regulation     fuzzy controller     de-regulated power system     doubly fed induction generator (DFIG)    

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Doubly-fed induction generator drive based WECS using fuzzy logic controller

Abdelhak DIDA,Djilani BEN ATTOUS

Frontiers in Energy 2015, Volume 9, Issue 3,   Pages 272-281 doi: 10.1007/s11708-015-0363-9

Abstract: doubly-fed induction generator in the wind turbine generation system by using fuzzy logic controllersThe control of the rotor-side converter is realized by stator flux oriented control, whereas the controlAn intelligent fuzzy inference system is proposed as an alternative of the conventional proportionalFive fuzzy logic controllers are used in the rotor side converter (RSC) for maximum power point tracking(MPPT) algorithm, active and reactive power control loops, and another two fuzzy logic controllers for

Keywords： fuzzy logic     wind turbine     vector control     doubly-fed induction generator (DFIG)    

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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: The control signals of two cylinders are two separate triangle waveforms with 90° phase difference.Because the output waveforms of two cylinders have the same characteristics as the control signals, theA mononeuron self-adaptive PID control algorithm is also improved by modifying parameters and .Two improved controllers are used to control the two cylinders, respectively, making two displacementsResults show that the improved control approach can limit fluctuations to a lower level and the HHHP

Keywords： mononeuron PID control     hydraulic pump     pressure fluctuation    

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Fuzzy cascade control based on control’s history for superheated temperature

WANG Guangjun, LI Gang, SHEN Shuguang

Frontiers in Energy 2007, Volume 1, Issue 3,   Pages 285-289 doi: 10.1007/s11708-007-0040-8

Abstract: Based on the analysis of the control objects’ dynamic characteristics, historical control information(substituting for the deviation change rate) is used as the basis for decision-making of the fuzzy controlFurthermore, a proportional component is introduced, the advantages of PID and fuzzy controllers areintegrated, and the structure weaknesses of conventional fuzzy controllers are overcome.system by this controller with PID and conventional fuzzy controllers.
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Title Author Date Type Operation

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

Wang Ling,Zhang Qiang and Li Xuemei

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

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

Dan ZHANG,Bin WEI

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

Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

Journal Article

Gained switching-based fuzzy sliding mode control for a discrete-time underactuated robotic system with

Hui LI, Ruiqin LI, Jianwei ZHANG

Journal Article

Semi-active fuzzy control of Lali Cable-Stayed Bridge using MR dampers under seismic excitation

Sajad JAVADINASAB HORMOZABAD, Amir K. GHORBANI-TANHA

Journal Article

Control algorithm of a servo platform

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

Journal Article

Application of fuzzy logic control algorithm as stator power controller of a grid-connected doubly-fed

Ridha CHEIKH, Arezki MENACER, Said DRID, Mourad TIAR

Journal Article

Comparative study of various artificial intelligence approaches applied to direct torque control of induction

Moulay Rachid DOUIRI, Mohamed CHERKAOUI

Journal Article

Load frequency control in deregulated power system with wind integrated system using fuzzy controller

Yajvender Pal VERMA, Ashwani KUMAR

Journal Article

Doubly-fed induction generator drive based WECS using fuzzy logic controller

Abdelhak DIDA,Djilani BEN ATTOUS

Journal Article

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

Linhui ZHAO, Xin FANG

Journal Article

Fuzzy cascade control based on control’s history for superheated temperature

WANG Guangjun, LI Gang, SHEN Shuguang

Journal Article