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International Conference on Manufacturing Science and Technology (ICMST 2011)

作者： Tang, Yudong Zhu, Xiaochun Feng, Lu Gui, Chen Nanjing Inst Technol Sch Automat Nanjing Jiangsu Peoples R China

ISBN: (纸本)9783037852958

Parameter identification method is researched for the single-input and single-output systems in this paper. Based on the analysis of method of least squares, the new system identification method based on PhD control algorithm is proposed. The PhD controller is established by connecting the input and output with the system error and the system parameter. And the results of the simulations state that the new identification method is feasible and effective. System identification is the most important part in modern control theory. The definition of system identification proposed by L. A. Zadeh is that, system identification is determination the system in the gained systems which equivalent to the unknown system, according to the input and output of the unknown system. Traditional identification methods include impulse response, least square and maximum likelihood [1-2]. Identification speed and identification precise are all needed in the system identification. But identification speed is incompatible with identification precision. The improvement of identification do always conduce to the increase of identification precision, it can be verified by the identification examples, which is identified by the traditional identification methods. So for higher identification precision, the identification speed is lower. Now, a lot of high precision identification methods based on neural network or genetic algorithm, is proposed [3-7]. These new identification methods can gain very high identification precision, but it needs too much time. A new system identification method based on pid controller is proposed in this paper. It states by simulation that the new method can improve the identification precision and speed.

关键词： Parameter identification Single-input and single out-put system pid control algorithm

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Application of Improved pid control algorithm in Intelligent Vehicle 6

Application of Improved PID Control Algorithm in Intelligent...

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6th IEEE Advanced Information Technology, Electronic and Automation control Conference (IEEE IAEAC)

作者： Yang Zhiqi Tianjin Renai Coll Dept Comp Sci & Technol Tianjin 301636 Peoples R China

ISBN: (数字)9781665458641

ISBN: (纸本)9781665458641

The intelligent vehicle system runs according to the law of nonlinear time-varying system. The single feedback control of the traditional pid algorithm will lead to a certain degree of overshoot and oscillation in the system, so it is hard to obtain an ideal control effect . The single-neuron network algorithm has the ability of self-learning and self-tuning weighting coefficients, which can realize self-adjustment of control parameters . Therefore, the combination of the single neuron network algorithm and pid control can improve the control performance of the system, and the new algorithm has the ability of self-learning and automatic tuning at the same time, and the field adjustment parameters are few, the adjustment period is short, and the adaptability and robustness are significantly improved.

关键词： intelligent vehicle control system single neuron network self-adaptation pid control algorithm

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The simulation study of steady-state system identification based on BP neural network pid control algorithm 2021

The simulation study of steady-state system identification b...

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2nd International Conference on Artificial Intelligence and Information Systems (ICAIIS )

作者： Liu, Di Li, Jianhai Wang, Jing Naval Aeronaut Univ Sch Basic Sci Aviat Yantai Peoples R China

ISBN: (纸本)9781450390200

For the controlled object whose system parameters are constant, the traditional pid control algorithm is difficult to achieve better results. BP neural network has strong ability of self-learning and self-adaptation. In this paper, BP neural network is used to establish the parameter identification model of the steady-state system. Combined with the calculation of the known model pid control parameters, the more adaptive pid control algorithm is deduced. The simulation results show that the system has fast dynamic response, small overshoot, high steady-state accuracy, strong anti-disturbance ability and good control effect.

关键词： BP neural network pid control algorithm Steady-state system identification The simulation Weighting coefficient Error back propagation

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Improved Modeling and pid control algorithm for Three-tank Liquid Level System

Improved Modeling and PID Control Algorithm for Three-tank L...

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International Conference on Smart Materials and Intelligent Systems (SMIS 2011)

作者： Yu Yanxin Song Xue Changchun Univ Sci & Technol Sch Elect & Informat Engn Changchun 130021 Peoples R China Elect Res & Design Inst Jilin Changchun 130021 Peoples R China

ISBN: (纸本)9783037853450

Three-tank liquid level system is a more typical non-linear and delay object with strong representation and background of industry. The part or whole of many objects can be abstracted into a mathematical model of three-tank liquid level system. Research on modeling and control of the system has important theoretical significance and practical value. This article describes how to use Simulink function to establish the mechanism of three-tank liquid level system model. And at the time, an improved pid control algorithm is proposed. The results show that it has more superior performance for three-tank liquid level system simulation control compared with the traditional pid control algorithm.

关键词： Three-tank liquid level system Modeling pid control algorithm Simulink

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Simulation of Asynchronous Motor control System Based on BP Neural Network pid control algorithm

Simulation of Asynchronous Motor Control System Based on BP ...

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2011 International Conference on Computer, Electrical, and Systems Sciences, and Engineering (CESSE 2011)

作者： Liu Di, Hu Chun-wan, Gao Yan-li Department of control Engineering Naval Aeronautical and Astronautical University, Yantai Shandong China

In allusion to the effect that traditional asynchronous motor pid control system is vulnerable to uncertain factors of parameter variations and load disturbance, the disadvantage that system parameters can’t be adjusted timely following the diversification of motor speed, this paper introduces a pid control algorithm based on the BP network by melting the regular pid control algorithm and the self-automatic learning neural network. Simulation results are provide to indicate that this method has the advantage of quick velocity response, less overshoot, higher control precision and good robustness, has great control effect, is much better than that of traditional pid control algorithm.

关键词： BP Neural network pid control algorithm Asynchronous motor Simulation Overshoot Robustness

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Research on Electromagnetic Linear Actuator-Driven Compressor and its control Technology

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JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY 2025年第3期20卷 1761-1774页

作者： Zhu, Jianhui Xie, Jie Liu, Shuqi Wang, Mengyu Xue, Mengmeng Liu, Ping Fan, Aimin Dai, Jianguo Wang, Cheng Huaiyin Inst Technol Fac Transportat Engn Dept Transportat Engn Huaian 223003 Peoples R China Yancheng Inst Technol Dept Automot Acad Sch Automot Engn Yancheng 224051 Peoples R China

To address the low efficiency of compressors driven by rotating motors in refrigeration equipment, an electromagnetic linear actuator directly driven compressor is designed. A multi-field coupling mathematical model of machinery, electricity, and magnetism is established through theoretical analysis of the working mechanism and structure of the electromagnetic linear actuator directly driven compressor. Based on MATLAB/Simulink, a dual-loop Proportional-Integral-Derivative (pid) control algorithm and a sliding mode variable structure control algorithm with a nonlinear extended state observer are designed and simulated, enabling the function of the linear compressor to change its stroke and frequency according to different working conditions. Subsequently, a real-time simulation test platform based on dSPACE is built for the semi-physical real-time simulation tests. The test results demonstrate that the control algorithm can meet the variable working conditions of the compressor, and the test results are consistent with the simulation results. Moreover, the accuracy of the sliding mode variable structure control algorithm with a state observer is 2.5%, which is higher than the 5% accuracy of pid, meeting the performance requirements of the compressor.

关键词： Linear compressor pid control algorithm Sliding mode variable structure control algorithm dSPACE

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Evolutionary algorithm with pid control system for central air-conditioning energy saving

Evolutionary algorithm with PID control system for central a...

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International Conference on Industry, Information System and Material Engineering

作者： Lin, Fan Zeng, Wenhua Jiang, Yi Liang, Qi Xiamen Univ Dept Comp Sci Xiamen 361005 Peoples R China Xiamen Univ Sch Software Xiamen 361005 Peoples R China Xiamen Univ Fujian Key Lab Brain Like Intelligent Syst Xiamen 361005 Peoples R China

ISBN: (纸本)9783037850275

Central air-conditioning energy saving under the control of the process of multi-parameter is a typical time-varying systems and nonlinear complex systems. In this paper, we analyzed and studied the process-oriented control system for central air-conditioning energy saving algorithm and architecture, and used evolutionary algorithm and pid control strategy to improve the existing control system. The new system makes the control system to achieve better function control and energy saving.

关键词： Evolutionary algorithm Robust pid control algorithm

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A Comparative Study of pid control algorithms Adapted to Send-on-Delta Sampling

A Comparative Study of PID Control Algorithms Adapted to Sen...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Vasyutynskyy, Volodymyr Kabitzsch, Klaus Tech Univ Dresden D-8027 Dresden Germany

ISBN: (纸本)9781424463916

Send-on-delta sampling is used to reduce the number of triggered events (event rates) in networked control systems, allowing more effective utilization of system resources such as network broadband. However, this sampling may result in irregular samples and uncertainties in the inter-sample behavior, which may deteriorate the quality of control and have to be addressed in the control algorithms. This paper compares three variants of control algorithms for closed loops with send-on-delta. These are evaluated based on a typical scenario of building automation. The recommendations for selection of the control algorithms for send-on-delta are made.

关键词： pid control algorithm adaptive control adaptive control building automation building management systems closed loop control closed loop systems computer networks control engineering computing distributed control intersample behavior network broadband networked control system sampled data systems send-on-delta sampling system resource utilization three-term control

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A portable low-cost polymerase chain reaction device

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HARDWAREX 2025年 21卷 e00635页

作者： Luo, Kan Cheng, Wei Chen, Yu Zhang, Qirong Liang, Chaobing Li, Jianxing Wang, Wu Fujian Univ Technol Sch Elect Elect Engn & Phys Fuzhou 350118 Peoples R China Fuzhou Ind Integrat Automat Technol Innovat Ctr Fuzhou 350118 Peoples R China Fujian Univ Technol Sch Mech & Automot Engn Fuzhou 350118 Peoples R China FuZhou Univ Coll Elect Engn & Automat Fuzhou 350108 Peoples R China

Polymerase chain reaction (PCR) is a cornerstone technique in molecular biology and clinical diagnostics. However, conventional PCR systems are often bulky and prohibitively expensive, limiting their use in resource-limited settings. In this work, we present a portable, low-cost PCR instrument designed to overcome these challenges while providing fast and accurate thermal cycling. The system features a compact four-well aluminum heating block integrated with a semiconductor thermoelectric cooler and a heated lid, all controlled via an Arduino UNO platform and a piecewise variable coefficient pid algorithm. The device achieves heating and cooling rates of 1.78 degrees C/s and 1.52 degrees C/s, respectively, and maintains temperature accuracy within +/- 0.55 degrees C. The power-bank powered prototype measures 210 x 140 x 105 mm3 and weighs 670 g, making it ideal for resource-constrained applications. Validation experiments, including successful amplification of kelp genes, yielded results comparable to conventional commercial instruments. Open source design files and detailed build instructions are provided under the MIT license, providing a cost-effective and accessible solution for expanding molecular diagnostic capabilities in resourcelimited settings.

关键词： Polymerase chain reaction (PCR) Temperature control Arduino pid control algorithm Low-cost

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Li-ion power battery temperature control by a battery thermal management and vehicle cabin air conditioning integrated system

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ENERGY FOR SUSTAINABLE DEVELOPMENT 2020年 57卷 141-148页

作者： Cen, Jiwen Jiang, Fangming Chinese Acad Sci Guangzhou Inst Energy Convers Lab Adv Energy Syst CAS Key Lab Renewable EnergyGuangdong Key Lab Ne Guangzhou Peoples R China

Efficient and effective thermal management of Li-ion battery pack for electric vehicle application is vital for the safety and extended-life of this energy storage system. In this paper, the thermal management system of a battery module is presented as an integral part of the electric vehicle air conditioning system. The refrigerant is bifurcated from the main system through a pipe and expansion valve and guided to the battery module compartment consisting of 64 18650-type Li-ion battery arranged in the form of 8 x 8 array. Several experimental strategies such as expansion valve throttle level, thermostat sensitivity and proportional-integral-derivative (pid) control algorithm are investigated. The results indicate that a larger openness of the throttling valve avoids superheating of the refrigerant and maintains the maximum temperature difference in the battery module around 2 degrees C. Additionally, thermostat sensitivity and pid control algorithm is found to be able to offer effective thermal management for an electric vehicle battery pack. (c) 2020 International Energy Initiative. Published by Elsevier Inc. All rights reserved.

关键词： Electric vehicle Li-ion battery thermal management Direct refrigerant cooling pid control algorithm

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