Adaptive Integral Sliding Mode Control via Fuzzy Logic for Variable Speed Wind Turbines

2016 ◽  
Vol 28 (6) ◽  
pp. 921-927
Author(s):  
Yan Ren ◽  
◽  
Chuanli Gong ◽  
Dekuan Wang ◽  
Dianwei Qian ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode Control ◽  
Wind Turbines ◽  
Sliding Mode ◽  
Variable Speed ◽  
Control Task ◽  
Integral Sliding Mode Control ◽  
Integral Sliding Mode ◽  
Control Scheme ◽  
Operating Points

[abstFig src='/00280006/16.jpg' width='300' text='Schematic of a wind turbine' ] Concerning variable speed wind turbines, this study suggests a control scheme that combines integral sliding mode control (I-SMC) and fuzzy logic. The control task is to maintain the output power at the rated value for variable operating points. Wind turbines suffer from serious nonlinearities that challenge the control task. To attack the issue, the nonlinear turbine model is linearized at some typical operating points. Then, pitch-angle and generator-torque controllers based on the linearized turbine models are formulated by the I-SMC approach. Meanwhile, a fuzzy inference system is designed to weight those controllers. Not only the scheme can stabilize nonlinear wind turbines, but also the control system is robust to resist wind-speed variations. Some results are presented to show the performance of the control scheme.

scholarly journals Nonlinear Integral Sliding Mode Control for a Second Order Nonlinear System

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Xie Zheng ◽  
Xie Jian ◽  
Du Wenzheng ◽  
Cheng Hongjie
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
External Disturbance ◽  
Lyapunov Stability Theory ◽  
Second Order ◽  
Integral Sliding Mode Control ◽  
Integral Sliding Mode ◽  
Mode Control ◽  
Control Scheme ◽  
Sliding Manifold

A nonlinear integral sliding-mode control (NISMC) scheme is proposed for second order nonlinear systems. The new control scheme is characterized by a nonlinear integral sliding manifold which inherits the desired properties of the integral sliding manifold, such as robustness to system external disturbance. In particular, compared with four kinds of sliding mode control (SMC), the proposed control scheme is able to provide better transient performances. Furthermore, the proposed scheme ensures the zero steady-state error in the presence of a constant disturbance or an asymptotically constant disturbance is proved by Lyapunov stability theory and LaSalle invariance principle. Finally, both the theoretical analysis and simulation examples demonstrate the validity of the proposed scheme.

scholarly journals Fuzzy Integral Sliding Mode Control Based on Microbial Fuel Cell

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Lei Lian ◽  
Peng Ji ◽  
Tianyu OuYang ◽  
Fengying Ma ◽  
Shanwen Xu ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Sliding Mode Control ◽  
Microbial Fuel Cell ◽  
Sliding Mode ◽  
Fuzzy Integral ◽  
Sliding Surface ◽  
Integral Sliding Mode Control ◽  
Integral Sliding Mode ◽  
Mode Control ◽  
Control Scheme

Microbial fuel cell (MFC) is a renewable clean energy. Microorganisms are used as catalysts to convert the chemical energy of organic matter in the sewage into electrical energy to realize sewage treatment and recover energy at the same time. It has good development prospects. However, the output power of MFC is affected by many factors, and it is difficult to achieve a stable voltage output. For the control-oriented single-chamber MFC, a fuzzy integral sliding mode control is designed. The continuous adjustment of the sliding surface ensures that the system only moves on the sliding surface, which eliminates the arrival stage and improves robustness. For chattering existing in the system, the control scheme is further optimized to obtain fuzzy integral sliding mode control, and the fuzzy module adaptively adjusts the control parameters according to the system state, which effectively reduces the system chattering. Experiments prove that the control scheme reduces chattering while ensuring the stable output of the system.

scholarly journals Integral sliding mode-based formation control of multiple unertain robots via nonlinear disturbane observer

2016 ◽  
Vol 13 (6) ◽  
pp. 172988141667769 ◽  
Author(s):  
Dianwei Qian ◽  
Chengdong Li ◽  
Shiwen Tong ◽  
Lu Yu
Keyword(s):  
Sliding Mode Control ◽  
Disturbance Observer ◽  
Formation Control ◽  
Sliding Mode ◽  
Nonlinear Disturbance Observer ◽  
Integral Sliding Mode Control ◽  
Integral Sliding Mode ◽  
Mode Control ◽  
Control Scheme ◽  
Nonlinear Disturbance

This article proposes a control scheme for formation of maneuvers of a team of mobile robots. The control scheme integrates the integral sliding mode control method with the nonlinear disturbance observer technique. The leader–follower formation dynamics suffer from uncertainties originated from the individual robots. The uncertainties challenge the formation control of such robots. Assuming that the uncertainties are unknown but bounded, an nonlinear disturbance observer-based observer is utilized to approximate them. The observer outputs feed on an integral sliding mode control-based controller. The controller and observer are integrated into the control scheme to realize formation maneuvers despite uncertainties. The formation stability is analyzed by means of the Lyapunov’s theorem. In the sense of Lyapunov, not only the convergence of the approximation errors is guaranteed but also such a control scheme can asymptotically stabilize the formation system. Compared to the results by the sole integral sliding mode control, some simulations are presented to demonstrate the feasibility and performance of the control scheme.

scholarly journals Fuzzy-Logic-Based Adaptive Proportional-Integral Sliding Mode Control for Active Suspension Vehicle Systems: Kalman Filtering Approach

2019 ◽  
Vol 48 (4) ◽  
pp. 648-659
Author(s):  
Kazem Zare ◽  
Mohammad Mehdi Mardani ◽  
Navid Vafamand ◽  
Mohammad Hassan Khooban ◽  
Sajjad Shamsi Sadr ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode Control ◽  
Real Time ◽  
Kalman Filtering ◽  
Sliding Mode ◽  
Integral Sliding Mode Control ◽  
Integral Sliding Mode ◽  
Proportional Integral ◽  
Suspension Systems ◽  
Filtering Approach

This paper deals with the problem of synthesizing a fuzzy-logic-based adaptive proportional-integral sliding mode control (FAPISMC) for active suspension systems based on Kalman filtering approach. To improve the performance of the controller and eliminate the effect of the chattering, the switching input is designed based on the fuzzy-logic-based approach with a minimum number of rules. In order to facilitate the stability analysis, the estimation of the state variables is used in designing the sliding surface platform. Furthermore, the gain of the controller is updated by an adaptive law to avoid any pre-knowledge of the disturbance amplitude. Subsequently, the proposed approach is more implementable in real-world processes. Finally, in order to illustrate the effectiveness and merits of the proposed approach, a suspension system is considered and simulated by the real-time hardware-in-the-loop (HiL). In this example, a quarter-car model of suspension systems is considered. Then, the obtained real-time results are compared with the linear quadratic regulator approach.

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