Gang Zhou
Gang Zhou has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Huangsheng Xie
School of Physics and Mechanical and Electrical Engineering, Longyan University, Longyan 364012, China
2 shared publications - Jiaxiang Xue
School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China
2 shared publications - Ning Ou
School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, China
2 shared publications - Xiaowei Cai
Physics, Mechanical and Electrical Engineering, Longyan University, Longyan 364012, China
2 shared publications - Zhihe Fu
Physics, Mechanical and Electrical Engineering, Longyan University, Longyan 364012, China
2 shared publications - Duhan Ding
School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, China
1 shared publication
Latest Publications
- Open Access
- 29 May 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (11) , 5519
Energy-Feedback Load Simulation Algorithm Based on Fuzzy Control
In order to solve the problem that the traditional Proportional Integral (PI) controller cannot take into account both response speed and input current overshoot and cannot adapt to complex working conditions, an energy-feedback DC load simulation control algorithm based on fuzzy control was proposed. By adding a fuzzy adaptive PI setting to the traditional load simulation control algorithm, the dynamic response performance of the system and the accuracy of load simulation were improved. A small-signal model of a load analog boost circuit was established based on the state average method. Based on the phase margin, the PI parameter setting of series correction was completed, and the corresponding fuzzy control rules were formulated to identify the response state. Simulation results show that the regulation time of constant current load simulation based on a fuzzy control strategy is shortened by 75.2%, the steady-state error is reduced by 60%, and the overshoot is reduced from 28.3% to 7.47%. The prototype test results show that the maximum relative error of input current load simulation is only 4.50%, and the system response speed can meet the requirements of variable load simulation. The results show that the load simulation control algorithm based on fuzzy control has the characteristics of high precision and excellent dynamic characteristics.
- 29 May 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (11) , 5519
Open AccessEnergy-Feedback Load Simulation Algorithm Based on Fuzzy Control
In order to solve the problem that the traditional Proportional Integral (PI) controller cannot take into account both response speed and input current overshoot and cannot adapt to complex working conditions, an energy-feedback DC load simulation control algorithm based on fuzzy control was proposed. By adding a fuzzy adaptive PI setting to the traditional load simulation control algorithm, the dynamic response performance of the system and the accuracy of load simulation were improved. A small-signal model of a load analog boost circuit was established based on the state average method. Based on the phase margin, the PI parameter setting of series correction was completed, and the corresponding fuzzy control rules were formulated to identify the response state. Simulation results show that the regulation time of constant current load simulation based on a fuzzy control strategy is shortened by 75.2%, the steady-state error is reduced by 60%, and the overshoot is reduced from 28.3% to 7.47%. The prototype test results show that the maximum relative error of input current load simulation is only 4.50%, and the system response speed can meet the requirements of variable load simulation. The results show that the load simulation control algorithm based on fuzzy control has the characteristics of high precision and excellent dynamic characteristics.
- Open Access
- 6 May 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (9) , 4681
Resonant Power Supply for Plasma Cleaning Based on Fuzzy Logic Power Tracking
The coaxial cylindrical reactor with a rotary nozzle is proposed to be used as the plasma torch of the plasma cleaning machine. The phase-shifted full bridge series resonance circuit is used as the power circuit topology. Because the voltage source load resonance circuit technology is mature, the cycle and difficulty of research and development on this basis are relatively small, and the corresponding control strategy and algorithm are relatively easy to achieve. At the same time, the voltage source circuit is smaller than the current source circuit, in line with the development trend of plasma cleaning equipment. In this paper, based on the phase shift full bridge series resonant circuit, the control strategy is compared and analyzed. Considering the response speed, control precision and efficiency, a PSPWM-PFM (Phase Shift Pulse Width Modulation- Pulse Frequency Modulation) hybrid modulation control strategy is proposed, which makes the system not only have a fast response speed but can also construct a soft switch and has a high efficiency. A maximum power tracking algorithm based on a fuzzy PFM was proposed to solve the problem that the plasma power supply deviated from the resonant frequency point easily due to environmental perturbation, and thus deviated from the maximum power point.
- 6 May 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (9) , 4681
Open AccessResonant Power Supply for Plasma Cleaning Based on Fuzzy Logic Power Tracking
The coaxial cylindrical reactor with a rotary nozzle is proposed to be used as the plasma torch of the plasma cleaning machine. The phase-shifted full bridge series resonance circuit is used as the power circuit topology. Because the voltage source load resonance circuit technology is mature, the cycle and difficulty of research and development on this basis are relatively small, and the corresponding control strategy and algorithm are relatively easy to achieve. At the same time, the voltage source circuit is smaller than the current source circuit, in line with the development trend of plasma cleaning equipment. In this paper, based on the phase shift full bridge series resonant circuit, the control strategy is compared and analyzed. Considering the response speed, control precision and efficiency, a PSPWM-PFM (Phase Shift Pulse Width Modulation- Pulse Frequency Modulation) hybrid modulation control strategy is proposed, which makes the system not only have a fast response speed but can also construct a soft switch and has a high efficiency. A maximum power tracking algorithm based on a fuzzy PFM was proposed to solve the problem that the plasma power supply deviated from the resonant frequency point easily due to environmental perturbation, and thus deviated from the maximum power point.