A novel sliding mode nonlinear proportional-integral control scheme for controlling chaos

2005 ◽  
Vol 14 (5) ◽  
pp. 914-921 ◽  
Author(s):  
Yu Dong-Chuan ◽  
Wu Ai-Guo ◽  
Yang Chao-Ping
2012 ◽  
Vol 546-547 ◽  
pp. 833-839 ◽  
Author(s):  
Zhe Li ◽  
Zheng Guo Wu ◽  
Li Xia ◽  
Wei Ping Zhou

A novel control scheme for the dynamic voltage restorer (DVR) is proposed to achieve fast response and effective sag and swell compensation capabilities. In this control scheme, the proportional integral control is used to guarantee system dynamic performance and the repetitive control is used to improve voltage waveform quality. Compared to classical proportional integral control, DVR based on this control scheme can restore load voltage almost sinusoidal and shows better transient and steady-state responses when facing sag or swell conditions. The proposed control scheme has been verified by simulation on Matlab. Simulation results show that the control approach performs very effectively and yields excellent voltage regulation.


Machines ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 135
Author(s):  
S. AlGhamdi ◽  
I. Hamdan ◽  
Marwa M. M. Youssef ◽  
Omar Noureldeen

Wind energy is regarded as one of the oldest energy sources and has played a significant role. As the nature of wind changes continuously, the generated power varies accordingly. Generation of the pitch angle of a wind turbine’s blades is controlled to prevent damage during high wind speed. This paper presents the development and application of a fuzzy proportional integral control scheme combined with traditional proportional control in the dynamic behavior of pitch angle-regulated wind turbine blades. The combined control regulates rotor speed and output power, allowing control of the power while maintaining the desired rotor speed and avoiding equipment overloads. The studied model is a large-scale wind farm of 120 MW in the Gulf El-Zayt region, Red Sea, Egypt. The control system validity is substantiated by studying different cases of wind speed function: ramp, step, random, and extreme wind speed. The results are compared with the traditional combined control. The model is simulated using MATLAB/SIMULINK software. The simulation results proved the effectiveness of fuzzy tuned PI against traditional PI control.


2018 ◽  
Vol 10 (7) ◽  
pp. 168781401878637 ◽  
Author(s):  
Xuesheng Zhou ◽  
Jun Zhou ◽  
Zhanzhong Wang ◽  
Lili Yang ◽  
Mingjin Yu

Agricultural high-clearance vehicles are different from traditional vehicles. Agricultural vehicles have particular features that are mainly suited for the agricultural vehicle’s working environment. Farmland is relatively complex, mostly unknown and unstructured environment, and it is difficult to accurately model. The complex characteristics of farmland or hilly terrain demands that the agricultural machinery on the ground environment must have sufficient robustness. In this article, a soft road high vacant land vehicle model is established, and then, through the observation of force of tyres and the use of an existing tyre model recursive least square parameter estimation, the road adhesion coefficient is obtained. Considering that the sliding mode control can effectively solve the parameter uncertain nonlinear system, the model established herein has the advantages of robustness and fast response. The sliding mode control and the incremental proportional–integral control were used to test the uniform pavement and the separate pavement, respectively, and the results showed that the sliding mode control was closer to the target value than the incremental proportional–integral control but was less stable than the incremental proportional–integral control on the uniform road surface; in addition, the sliding mode control was superior to the incremental proportional–integral control on the separate road surface.


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