The Experts below are selected from a list of 8268 Experts worldwide ranked by ideXlab platform

Zhigang Wang - One of the best experts on this subject based on the ideXlab platform.

  • The Temperature Control of Blackbody Radiation Source Based on IMC-PID
    2019 IEEE International Conference on Mechatronics and Automation (ICMA), 2019
    Co-Authors: Lei Shao, Jinghui Wang, Zhigang Wang, Chang Liu, Xue Yang
    Abstract:

    Blackbody Radiation source is used as a standard device for infrared thermometer, it plays increasingly important roles in the field of calibration. Through experiment discoveries that it is a typical nonlinear system and has a large transport delay when the Blackbody is rise temperature or cooling in order to reach set temperature points. Based on the temperature control of Blackbody is a kind of typical multi-variable, strong coupling and time-varying nonlinear control system. The paper proposes applying the theory of active disturbance rejection controller (ADRC) to suppress various disturbances and improve the dynamic performance of Blackbody Radiation source. First of all, describing the working principle of Blackbody Radiation source and building its mathematical model. Secondly, introducing the control method of ADRC, which is applied to the temperature control system of Blackbody Radiation source. Finally, through MATLAB/SIMULINK platform to simulate and compare the temperature control performances of Blackbody among ADRC, PID and Smith predictor(SP) control strategies. The simulation results show that proposed ADRC algorithm improves the abilities of anti-interference of system and it is without overshoot. In addition, the results also indicated that the control method of ADRC shortens plant stable time and has a strong prospect for practical applications.

  • Temperature Control Based on Fuzzy-PID Algorithm for the Blackbody Radiation Source
    2018 IEEE International Conference on Mechatronics and Automation (ICMA), 2018
    Co-Authors: Zhigang Wang, Lingling Wang, Jinghui Wang
    Abstract:

    Blackbody Radiation source is a key equipment in the traceability process of temperature measurement. In infrared temperature measurement, stable and consistent temperature control of the Blackbody Radiation sources is required. And in the process of calibration, it is a key element that a Blackbody Radiation source can produce a fixed temperature. Effective control of its temperature is, therefore, crucial. Due to the change of parameters and the uncertainty of loads, the performance requirements for conventional Proportional, Integral and Differential (PID) controller are high. But the control effect of the conventional PID controller on the temperature control system is not perfect. So the Fuzzy-PID control algorithm is simulated with software for the temperature control system of the Blackbody Radiation source in this paper. Compared with the conventional PID control algorithm, the Fuzzy-PID control has advantages of quicker response, smaller overshoot and more stable performance. It is of a certain reference value to improve the temperature control performances in the actual industrial production applications.

  • Temperature control based on a single neuron PID algorithm for a Blackbody Radiation source
    2017 IEEE International Conference on Mechatronics and Automation (ICMA), 2017
    Co-Authors: Zhigang Wang, Xiuli Li, Xiaofeng Lu
    Abstract:

    Blackbody Radiation sources used in infrared temperature measurement require stable and consistent temperature control. A Blackbody Radiation source can produce a fixed temperature, which makes it the key element in the process of calibration. Effective control of its temperature is, therefore, crucial. In this study, a comparison is made between conventional PID control and a single neuron PID algorithm for temperature control of a Blackbody Radiation source. The single neuron PID control algorithm simulated in MATLAB demonstrates its feasibility and improved control performance over the conventional PID algorithm, with advantages of small overshoot, high precision, and strong anti-interference benefits, making it a strong prospect for practical applications.

Jinghui Wang - One of the best experts on this subject based on the ideXlab platform.

  • The Temperature Control of Blackbody Radiation Source Based on IMC-PID
    2019 IEEE International Conference on Mechatronics and Automation (ICMA), 2019
    Co-Authors: Lei Shao, Jinghui Wang, Zhigang Wang, Chang Liu, Xue Yang
    Abstract:

    Blackbody Radiation source is used as a standard device for infrared thermometer, it plays increasingly important roles in the field of calibration. Through experiment discoveries that it is a typical nonlinear system and has a large transport delay when the Blackbody is rise temperature or cooling in order to reach set temperature points. Based on the temperature control of Blackbody is a kind of typical multi-variable, strong coupling and time-varying nonlinear control system. The paper proposes applying the theory of active disturbance rejection controller (ADRC) to suppress various disturbances and improve the dynamic performance of Blackbody Radiation source. First of all, describing the working principle of Blackbody Radiation source and building its mathematical model. Secondly, introducing the control method of ADRC, which is applied to the temperature control system of Blackbody Radiation source. Finally, through MATLAB/SIMULINK platform to simulate and compare the temperature control performances of Blackbody among ADRC, PID and Smith predictor(SP) control strategies. The simulation results show that proposed ADRC algorithm improves the abilities of anti-interference of system and it is without overshoot. In addition, the results also indicated that the control method of ADRC shortens plant stable time and has a strong prospect for practical applications.

  • Temperature Control Based on Fuzzy-PID Algorithm for the Blackbody Radiation Source
    2018 IEEE International Conference on Mechatronics and Automation (ICMA), 2018
    Co-Authors: Zhigang Wang, Lingling Wang, Jinghui Wang
    Abstract:

    Blackbody Radiation source is a key equipment in the traceability process of temperature measurement. In infrared temperature measurement, stable and consistent temperature control of the Blackbody Radiation sources is required. And in the process of calibration, it is a key element that a Blackbody Radiation source can produce a fixed temperature. Effective control of its temperature is, therefore, crucial. Due to the change of parameters and the uncertainty of loads, the performance requirements for conventional Proportional, Integral and Differential (PID) controller are high. But the control effect of the conventional PID controller on the temperature control system is not perfect. So the Fuzzy-PID control algorithm is simulated with software for the temperature control system of the Blackbody Radiation source in this paper. Compared with the conventional PID control algorithm, the Fuzzy-PID control has advantages of quicker response, smaller overshoot and more stable performance. It is of a certain reference value to improve the temperature control performances in the actual industrial production applications.

Xiaofeng Lu - One of the best experts on this subject based on the ideXlab platform.

  • Temperature control based on a single neuron PID algorithm for a Blackbody Radiation source
    2017 IEEE International Conference on Mechatronics and Automation (ICMA), 2017
    Co-Authors: Zhigang Wang, Xiuli Li, Xiaofeng Lu
    Abstract:

    Blackbody Radiation sources used in infrared temperature measurement require stable and consistent temperature control. A Blackbody Radiation source can produce a fixed temperature, which makes it the key element in the process of calibration. Effective control of its temperature is, therefore, crucial. In this study, a comparison is made between conventional PID control and a single neuron PID algorithm for temperature control of a Blackbody Radiation source. The single neuron PID control algorithm simulated in MATLAB demonstrates its feasibility and improved control performance over the conventional PID algorithm, with advantages of small overshoot, high precision, and strong anti-interference benefits, making it a strong prospect for practical applications.

Xiuli Li - One of the best experts on this subject based on the ideXlab platform.

  • Temperature control based on a single neuron PID algorithm for a Blackbody Radiation source
    2017 IEEE International Conference on Mechatronics and Automation (ICMA), 2017
    Co-Authors: Zhigang Wang, Xiuli Li, Xiaofeng Lu
    Abstract:

    Blackbody Radiation sources used in infrared temperature measurement require stable and consistent temperature control. A Blackbody Radiation source can produce a fixed temperature, which makes it the key element in the process of calibration. Effective control of its temperature is, therefore, crucial. In this study, a comparison is made between conventional PID control and a single neuron PID algorithm for temperature control of a Blackbody Radiation source. The single neuron PID control algorithm simulated in MATLAB demonstrates its feasibility and improved control performance over the conventional PID algorithm, with advantages of small overshoot, high precision, and strong anti-interference benefits, making it a strong prospect for practical applications.

Lingling Wang - One of the best experts on this subject based on the ideXlab platform.

  • Temperature Control Based on Fuzzy-PID Algorithm for the Blackbody Radiation Source
    2018 IEEE International Conference on Mechatronics and Automation (ICMA), 2018
    Co-Authors: Zhigang Wang, Lingling Wang, Jinghui Wang
    Abstract:

    Blackbody Radiation source is a key equipment in the traceability process of temperature measurement. In infrared temperature measurement, stable and consistent temperature control of the Blackbody Radiation sources is required. And in the process of calibration, it is a key element that a Blackbody Radiation source can produce a fixed temperature. Effective control of its temperature is, therefore, crucial. Due to the change of parameters and the uncertainty of loads, the performance requirements for conventional Proportional, Integral and Differential (PID) controller are high. But the control effect of the conventional PID controller on the temperature control system is not perfect. So the Fuzzy-PID control algorithm is simulated with software for the temperature control system of the Blackbody Radiation source in this paper. Compared with the conventional PID control algorithm, the Fuzzy-PID control has advantages of quicker response, smaller overshoot and more stable performance. It is of a certain reference value to improve the temperature control performances in the actual industrial production applications.