scholarly journals A Novel Adaptive Fuzzy MPPT Algorithm under Changing Atmospheric Conditions

2021 ◽  
Vol 3 (4) ◽  
pp. 246-264
Author(s):  
Zhang Yan ◽  
Wang Ya-Jun ◽  
Chang Jia-Bao
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Adaptive Fuzzy Control ◽  
Optimal Time ◽  
Atmospheric Conditions ◽  
Change Rate ◽  
Adaptive Fuzzy ◽  
Slope Change ◽  
Steady State Oscillation ◽  
Fuzzy Control Algorithm

The paper aims at the incompatibility between the speed and stability of the traditional MPPT algorithm and the imprecise search of the fuzzy control algorithm. An improved photovoltaic adaptive fuzzy control MPPT algorithm is proposed in this thesis. The solar irradiance changes dramatically and hence four kinds of fuzzy control algorithms with different input are modeled and simulated. The results indicate that the proposed fuzzy control algorithm using slope and slope change rate of P-U curve as input is the best. On this basis, dP/dU and duty cycle D(n-1) at n-1 moment are used as input to improve the tracking speed and optimal range. At the same time using shrinkage factor 1/I*|dP/dU| real-time adjustment of D(n-1) further shortens the optimal time of the algorithm. The algorithm is simulated and applied in a block. Simulation results show that the proposed algorithm is superior to the fuzzy control algorithm in steady-state oscillation rate, tracking speed and efficiency, and the algorithm is simple and easy to implement.

Flow Control Strategy for Novel Layered Synchronous Water Injection Technology in Oilfield

2012 ◽  
Vol 424-425 ◽  
pp. 737-741
Author(s):  
De Li Jia ◽  
Feng Shan Wang ◽  
Shu Jin Zhang ◽  
Ming Xin Zhao
Keyword(s):  
Fuzzy Control ◽  
Flow Control ◽  
Control Strategy ◽  
Control Algorithm ◽  
Water Injection ◽  
Adaptive Fuzzy Control ◽  
Adaptive Fuzzy ◽  
Variable Universe ◽  
Injection Technology ◽  
Fuzzy Control Algorithm

The layered synchronous water injection technology in oilfield has such characteristics as strong nonlinearity, interlayer interference, time variation and complex model. The traditional control strategy based on the model often causes system unstable and regulation time too long, thereby making control effect unsatisfactory. To satisfy the requirements of layered synchronous water injection technology, this paper designs a flow controller based on adaptive fuzzy control algorithm with variable universe. The universe will change with variables parameters by adjusting extension-contraction factor. The experimental verification show that the system has good control performance, strong adaptability and short measurement and regulation time with the introduction of variable universe adaptive fuzzy control algorithm into flow control system of layered synchronous water injection technology

Adaptive Fuzzy Vibration Control of Smart Structure with VFIFE Modeling

2015 ◽  
Vol 31 (6) ◽  
pp. 671-682 ◽  
Author(s):  
R. Xu ◽  
D.-X. Li ◽  
J.-P. Jiang ◽  
W. Liu
Keyword(s):  
Fuzzy Control ◽  
Vibration Control ◽  
Control Algorithm ◽  
Adaptive Fuzzy Control ◽  
Smart Structure ◽  
Torsional Vibrations ◽  
Sensors And Actuators ◽  
Antenna Structure ◽  
Adaptive Fuzzy ◽  
Fuzzy Control Algorithm

ABSTRACTThe vibration control of smart structure is considered in this paper. Membrane SAR antenna structure with piezoelectric sensors and actuators is taken as an example. The dynamic model is build up based on vector form intrinsic finite element (VFIFE) method. The four nodes membrane element, sensor element and actuator element for VFIFE are presented. By decentralized control stratagem, the bending and torsional vibrations of the membrane SAR antenna can be decoupled on measurement and driving control. The fuzzy control and adaptive fuzzy control are applied to suppress the bending and torsional vibrations of the membrane SAR structure. In the numerical experiment section, form finding is first carried out, then vibration control simulations are studied. The results demonstrate that adaptive fuzzy control algorithm can suppress the vibrations more effectively than the fuzzy control algorithm.

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