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Performance of the Boost Chopper, Comparative Study between pi control and Neural control to Regulate Its Output Voltage

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Smart Grid and Renewable Energy 2023年第5期14卷 73-84页

作者： Ibrahima Gueye Mamadou Sall Abdoulaye Kebe Laboratoire L3Epi Ecole Superieure Polytechnique Université Cheikh Anta Diop Dakar Senegal

In this study, we investigate the performance of a boost converter regulating its output voltage using two control methods: Proportional-Integral (pi) control and neural control. Both methods are implemented on a simulation platform (Matlab/Simulink) and evaluated in terms of accuracy, response speed, and robustness to disturbances. Indeed, the output voltage of converters exhibits imperfections that require a control method to optimize efficiency when applying a variable load. Results show that neural control offers superior performance in terms of accuracy and response time, with faster and more precise regulation of the output voltage. On the other hand, pi control proves to be more robust against disturbances. These findings can help guide the selection of the appropriate control method for a boost converter based on the specific requirements of each application.

关键词： Chopper pi control Neural control

Design of longitudinal predictive re-entry guidance law based on variable universe fuzzy-pi composite control

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控制理论与应用（英文版） 2012年第2期10卷 264-267页

作者： Yin WANG 1 , Yuping LU 2 1.College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing Jiangsu 210016, China 2.College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing Jiangsu 210016, China College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing Jiangsu China College of Astronautics Nanjing University of Aeronautics and Astronautics Nanjing Jiangsu China

This paper studies the longitudinal predictive re-entry guidance law based on the variable universe fuzzy- pi composite control to overcome the inaccuracy of the reference trajectory re-entry guidance for reentry vehicles. The variable universe fuzzy controller is used to obtain a satisfactory dynamic response when the downrange error is large, and the pi controller is utilized to eliminate the steady state error when the downrange error is small. Simulation results show that the proposed guidance law is very robust to the initial errors and can achieve better accuracy, and is also able to handle the effect of the stochastic errors in re-entry processes.

关键词： Re-entry guidance Variable universe Fuzzy control pi control

Multivariable pi Type Generalized Predictive control

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Journal of Systems Engineering and Electronics 1998年第2期9卷 8-13页

作者： Chen, Zengqiang Zhao, Tianhang Yuan, Zhuzhi Department of Computer & System Sciences Nankai University Tianjin 300071 P. R. China

This paper presents a multivariable generalized predictive controller with proportion and integration structure by modifying the quadratic criterion of the usual MGPC. The control performance has been improved greatl... 详细信息

关键词： Predictive control Self-tuning control Multivariable control pi control

pi control based on fuzzy set-point weighting tracking for hydraulic crane boom system

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控制理论与应用（英文版） 2006年第4期4卷 327-330页

作者： Yong YANG An LUO Karl-Erik RYDBERG College of Automotive and Mechanical Engineering Changsha University of Science and Technology Changsha Hunan 410076 China College of Information Science and Engineering Central South University Changsha Hunan 410083 China College of Electric and Information Engineering Hunan University Changsha Hunan 410082 China Department of Mechanical Engineering Linkoeping University Linkoeping SE-581 83 Sweden

A pi control strategy based on fuzzy set-point weighting following was proposed for the active damping control of a hydraulic crane boom system （HCBS）. Two valve-controlled pi controllers, which include a proportional feedforward controller based on fuzzy set-point weighting following and a limited semi-integrator（LSI）, are designed respectively. LSI is used to limit output signal and to prevent wind up at the low frequency of the spectrum. By using a range camera and an electronic feedback control, the tip damping on the HCBS can be adjusted artificially. A collaborative control simulation technique of HOPSAN and MATLAB/SIMULINK is applied to the controller design. Simulation results show that the proposed pi control system has less overshoot as well as faster response. The tip damping on the HCBS during operation is improved.

关键词： pi control Fuzzy set-point weighting （FSPW） Limited semi-integrator（LSI） Active damping Collaborative control simulation Range camera Hydraulic crane boom system （HCBS）

An adaptive series control for an interior permanent magnet synchronous motor with actuator compensation

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control Theory and Technology 2022年第3期20卷 392-407页

作者： Sajad Naderi Lordejani Rasoul M.Milasi Department of Mathematics and Computer Science Eindhoven University of TechnologyEindhovenThe Netherlands Department of Engineering Penn State FayetteThe Eberly CampusLemont FurnacePAUSA

An adaptive series speed control system for an interior permanent magnet synchronous motor(IPMSM)drive is presented in this paper.This control system consists of a current and a speed control loop,and it is intended to improve the drive’s speed tracking performance as well as to compensate for voltage distortions caused by non-ideal characteristics of the drive’s actuator,which is a voltage source inverter(VSI).To achieve these goals,a simple model that captures these characteristics of the VSI is developed and embedded in the motor’s electrical model.Then,based on the resulting model,an adaptive proportional-integral(pi)control for the current loops is designed,allowing for state regulation and actuator compensation.Additionally,to improve the drive’s speed tracking performance,a proportional-model-reference adaptive controller(MRAC)is designed for the speed loop.Techniques from machine learning are used for designing the MRAC to effectively address nonlinearities and uncertainties in the speed dynamic.Finally,simulation results are presented to illustrate the outstanding performance of the proposed multi-loop controller.

关键词： Permanent magnet synchronous motor Series control Adaptive control pi control Machine learning

Adaptive fuzzy pi tracking control for a class of switched nonlinear systems

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Adaptive fuzzy PI tracking control for a class of switched n...

On Fuzzy-pi control for Inverted Plasma Cutting Power Supply

第三十九届中国控制会议

作者： Hongyao Li Haibin Sun Linlin Hou Qixun Lan School of Engineering Qufu Normal University School of Information Science and Engineering Qufu Normal University School of Mathematics and science Henan University of Urban Construction

In this paper, the adaptive fuzzy proportional-integral（pi） tracking control problem for a class of switched nonlinear systems with unknown nonlinear functions and external disturbances is studied. By using backstepping method with fuzzy logic systems, an adaptive fuzzy pi tracking controller is proposed, which has a simple structure and a clear physical meaning. The stability analysis of the closed-loop switched systems is established via common Lyapunov function, and all the closed-loop signals and tracking error are bounded. Finally, two example are employed to verify the effectiveness of the proposed scheme.

关键词： Adaptive control backstepping fuzzy logic systems pi control switched nonlinear system tracking control

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On Fuzzy-PI Control for Inverted Plasma Cutting Power Supply

Speed Regulation Method Using Genetic Algorithm for Dual Three-phase Permanent Magnet Synchronous Motors

第二十七届中国控制会议

作者： Jia Deli,You Bo,Zhang Xueyan Harbin University of Science and Technology,Harbin 150080,P.R.China

A fuzzy-pi double-mode controller is proposed in this paper.A variable interval fuzzy quantification algorithm with self-adjustable factor in full domain is also introduced in this paper.The controller combines pi control with this algorithm to study the inverted plasma cutting power supply and its strong nonlinearity and uncertainty in cutting process.This algorithm avoids complex nonlinear system modeling and adopts double-mode control to combine advantages of fuzzy control and pi control under.The optimized fuzzy control improves steady-state precision and dynamic performance of system,either of which the conventional algorithm can realize simultaneously.The simulation result shows that controller proposed in this paper enhances robustness and steady-state performance compared to pi controller or fuzzy controller.

关键词： Plasma cutting Inverted power supply Fuzzy control pi control

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CES Transactions on Electrical Machines and Systems 2023年第2期7卷 171-178页

作者： Xiuhong Jiang Yuying Wang Jiarui Dong the Department of School of Electronic Information Engineering Shenyang Aerospace UniversityShenyang110136China

Dual three-phase Permanent Magnet Synchronous Motor(DTP-PMSM)is a nonlinear,strongly coupled,high-order multivariable system.In today’s application scenarios,it is difficult for traditional pi controllers to meet the requirements of fast response,high accuracy and good robustness.In order to improve the performance of DTP-PMSM speed regulation system,a control strategy of pi controller based on genetic algorithm is proposed.Firstly,the basic mathematical model of DTP-PMSM is established,and the pi parameters of DTP-PMSM speed regulation system are optimized by genetic algorithm,and the modeling and simulation experiments of DTP-PMSM control system are carried out by MATLAB/SIMULINK.The simulation results show that,compared with the traditional pi control,the proposed algorithm significantly improves the performance of the control system,and the speed output overshoot of the GA-pi speed control system is smaller.The anti-interference ability is stronger,and the torque and double three-phase current output fluctuations are smaller.

关键词： Dual three-phase permanent magnet synchronous motor Genetic algorithm pi control Speed regulation

Sliding Mode control Approach with Integrated Disturbance Observer for PMSM Speed System

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CES Transactions on Electrical Machines and Systems 2023年第1期7卷 118-127页

作者： Lei Yuan Yunhao Jiang Lu Xiong Pan Wang the Hubei Collaborative Innovation Center for High-efficiency Utilization of Solar Energy Hubei University of TechnologyWuhan430068China the Department of Radar System Ordnance NCO Academy of Army Engineering University of PLAWuhan430075China

The research on high-performance vector control of permanent magnet synchronous motor(PMSM)drive system plays an extremely important role in electrical drive system.To further improve the speed control performance of the system,a fast non-singular end sliding mode(FNTSM)surface function based on traditional NTSM control is developed.The theoretical analysis proves that the FNTSM surface function has a faster dynamic response and more finite-time convergence.In addition,for the self-vibration problem caused by high sliding mode switching gain,an FNTSM control method with anti-disturbance capability was designed based on the linear disturbance observer(DO),i.***.the FNTSMDO method was employed to devise the PMSM speed regulator.The comparative simulation and experiment results with traditional pi control and NTSM control methods indicate that the FNTSMDO method could improve the dynamic performance and anti-interference of the system.

关键词： PMSM Fast nonsingular terminal sliding-mode Disturbance observer pi control