预测模糊PI控制的反激变换器设计与仿真
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摘要
针对传统控制技术应用于反激变换器时控制精度低、超调大等问题,提出一种预测模糊PI控制策略。在对反激变换器进行频率响应分析、PI和PID补偿分析的基础上,进而分析变换器的非线性特性。基于模糊PI控制提高系统的控制精度,同时引入单值模型预测算法改进模糊PI控制器的输入,最大限度地减小相位滞后的影响。Simulink仿真验证结果表明,相比于PID控制模式,该系统的稳态误差控制在0.55%左右,动态调节时间为0.02 s,超调量几乎为零。仿真结果验证了控制策略的性能。
In allusion to the problems of low control accuracy and large overshoot during application of the traditional control technology to the flyback converter,a predictive fuzzy PI control strategy is proposed. On the basis of frequency response analysis,and PI and PID commpensation analysis of the flyback converter,the nonlinear characteristic of the converter is analyzed. The control accuracy of the system is improved based on fuzzy PI control. The single-value model prediction algorithm is introduced to improve the input of the fuzzy PI controller,so as to minimize the influence of phase lag. The verification results of the Simulink simulation show that in comparison with the PID control mode,the steady-state error of the system is controlled at about 0.55%,the dynamic adjustment time is 0.02 s,and the overshoot is almost zero. The simulation results verified the performance of the control strategy.
In allusion to the problems of low control accuracy and large overshoot during application of the traditional control technology to the flyback converter,a predictive fuzzy PI control strategy is proposed. On the basis of frequency response analysis,and PI and PID commpensation analysis of the flyback converter,the nonlinear characteristic of the converter is analyzed. The control accuracy of the system is improved based on fuzzy PI control. The single-value model prediction algorithm is introduced to improve the input of the fuzzy PI controller,so as to minimize the influence of phase lag. The verification results of the Simulink simulation show that in comparison with the PID control mode,the steady-state error of the system is controlled at about 0.55%,the dynamic adjustment time is 0.02 s,and the overshoot is almost zero. The simulation results verified the performance of the control strategy.
引文
[1]陆超,袁静.DC/DC变换器模糊控制和PID控制比较研究[J].电力电子技术,2012,46(6):22-25.LU Chao,YUAN Jing. Comparative study of fuzzy control and PID control for DC/DC converter[J]. Power electronics,2012,46(6):22-25.
[2]赵文春,王博,刘胜道,等.模糊自适应PID控制的移相全桥变换器设计与仿真[J].现代电子技术,2015,38(19):110-113.ZHAO Wenchun,WANG Bo,LIU Shengdao,et al. Design and simulation of phase-shifted full-bridge converter based on self-adaptive fuzzy-PID control[J]. Modern electronics technique,2015,38(19):110-113.
[3] PANDA B,SARKAR A,PANDA B,et al. A comparative study of PI and fuzzy controllers for solar powered DC-DC boost converter[C]//Proceedings of International Conference on Computational Intelligence and Network. Bhubaneshwar:IEEE,2015:47-51.
[4] SWAIN N,PANIGRAHI C H,PATI N. Comparative performance analysis of DC-DC converter using PI controller and fuzzy logic controller[C]//Proceedings of 1st International Conference on Power Electronics,Intelligent Control and Energy Systems. Delhi:IEEE,2017:1-5.
[5] PADMANABAN S,BLAABJERG F,MARTIRANO L,et al.PI and fuzzy control strategies for high voltage output DC-DC boost power converter:hardware implementation and analysis[C]//Proceedings of 16th International Conference on Environment and Electrical Engineering. Florence:IEEE,2016:1-6.
[6] JAIKRISHNA V,DASH S S,ALEX L T,et al. Investigation on modular flyback converters using PI and fuzzy logic controllers[J]. International journal of ambient energy,2019,40(1):12-20.
[7] RAJABPOUR L,BARZEGAR A. Design of improved fuzzy sliding mode controller for a reduced-order averaged active clamp DC-DC converter[C]//Proceedings of 7th IEEE Control and System Graduate Research Colloquium. Shah Alam:IEEE,2017:1-6.
[8] YUAN Yubo,CHANG Changyuan,ZHOU Zhiqi,et al. Design of a single-input fuzzy PID controller based on genetic optimization scheme for DC-DC buck converter[C]//Proceedings of IEEE International Symposium on Next-Generation Electronics.Taipei:IEEE,2015:1-4.
[9] CHANG Changyuan, YUAN Yubo, JIANG Tianlin, et al.Field programmable gate array implementation of a single-input fuzzy proportional-integral-derivative controller for DC-DC buck converters[J]. IET power electronics,2016,9(6):1259-1266.
[10] BAZDARIC R,MATKO D,LEBAN A,et al. Fuzzy model predictive control of a DC-DC boost converter based on nonlinear model identification[J]. Mathematical and computer modelling of dynamical systems,2017,23(2):116-134.
[11] WANG B F,KISHORE K V R,SO P L. Model predictive voltage control method for flyback converter[C]//Proceedings of Annual IEEE India Conference. New Delhi:IEEE,2016:1-5.
[12]戴文战,吴夏来.一种快速抑制超调量的改进预测控制算法[J].化工学报,2010,61(8):2101-2105.DAI Wenzhan,WU Xialai. An improved generalized predictive control algorithm for fast restraining overshoot[J]. CIESC Journal,2010,61(8):2101-2105.
[2]赵文春,王博,刘胜道,等.模糊自适应PID控制的移相全桥变换器设计与仿真[J].现代电子技术,2015,38(19):110-113.ZHAO Wenchun,WANG Bo,LIU Shengdao,et al. Design and simulation of phase-shifted full-bridge converter based on self-adaptive fuzzy-PID control[J]. Modern electronics technique,2015,38(19):110-113.
[3] PANDA B,SARKAR A,PANDA B,et al. A comparative study of PI and fuzzy controllers for solar powered DC-DC boost converter[C]//Proceedings of International Conference on Computational Intelligence and Network. Bhubaneshwar:IEEE,2015:47-51.
[4] SWAIN N,PANIGRAHI C H,PATI N. Comparative performance analysis of DC-DC converter using PI controller and fuzzy logic controller[C]//Proceedings of 1st International Conference on Power Electronics,Intelligent Control and Energy Systems. Delhi:IEEE,2017:1-5.
[5] PADMANABAN S,BLAABJERG F,MARTIRANO L,et al.PI and fuzzy control strategies for high voltage output DC-DC boost power converter:hardware implementation and analysis[C]//Proceedings of 16th International Conference on Environment and Electrical Engineering. Florence:IEEE,2016:1-6.
[6] JAIKRISHNA V,DASH S S,ALEX L T,et al. Investigation on modular flyback converters using PI and fuzzy logic controllers[J]. International journal of ambient energy,2019,40(1):12-20.
[7] RAJABPOUR L,BARZEGAR A. Design of improved fuzzy sliding mode controller for a reduced-order averaged active clamp DC-DC converter[C]//Proceedings of 7th IEEE Control and System Graduate Research Colloquium. Shah Alam:IEEE,2017:1-6.
[8] YUAN Yubo,CHANG Changyuan,ZHOU Zhiqi,et al. Design of a single-input fuzzy PID controller based on genetic optimization scheme for DC-DC buck converter[C]//Proceedings of IEEE International Symposium on Next-Generation Electronics.Taipei:IEEE,2015:1-4.
[9] CHANG Changyuan, YUAN Yubo, JIANG Tianlin, et al.Field programmable gate array implementation of a single-input fuzzy proportional-integral-derivative controller for DC-DC buck converters[J]. IET power electronics,2016,9(6):1259-1266.
[10] BAZDARIC R,MATKO D,LEBAN A,et al. Fuzzy model predictive control of a DC-DC boost converter based on nonlinear model identification[J]. Mathematical and computer modelling of dynamical systems,2017,23(2):116-134.
[11] WANG B F,KISHORE K V R,SO P L. Model predictive voltage control method for flyback converter[C]//Proceedings of Annual IEEE India Conference. New Delhi:IEEE,2016:1-5.
[12]戴文战,吴夏来.一种快速抑制超调量的改进预测控制算法[J].化工学报,2010,61(8):2101-2105.DAI Wenzhan,WU Xialai. An improved generalized predictive control algorithm for fast restraining overshoot[J]. CIESC Journal,2010,61(8):2101-2105.
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