Luenberger-sliding mode observer based fuzzy double loop integral sliding mode controller for electronic throttle valve

2018 ◽  
Vol 61 ◽  
pp. 36-46 ◽  
Author(s):  
Bin Yang ◽  
Mingjie Liu ◽  
Hakil Kim ◽  
Xuenan Cui
Keyword(s):  
Sliding Mode ◽  
Sliding Mode Observer ◽  
Sliding Mode Controller ◽  
Double Loop ◽  
Electronic Throttle ◽  
Integral Sliding Mode ◽  
Loop Integral ◽  
Throttle Valve

Sliding Mode Control of Electronic Throttle Valve Based on Rapid Control Prototyping

2012 ◽  
Vol 468-471 ◽  
pp. 1141-1147 ◽  
Author(s):  
Jian Wu ◽  
Yang Zhao
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Experimental Results ◽  
Sliding Mode Controller ◽  
Combustion Engines ◽  
Electronic Throttle ◽  
Throttle Valve ◽  
Rapid Control ◽  
Rapid Control Prototyping ◽  
Valve Control

In modern engine controlling, in order to adjust air-fuel ratio, electronic throttle valve systems are widely used in combustion engines. However, some difficulties arise in electronic throttle valve control due to multiple nonlinearities. Against this background, this study discusses the design of a throttle valve controller which is aimed to optimize control of throttle valves. Discussion is first made of how to model the electronic throttle valve. Then the design of the sliding mode controller is examined. Finally, a comparison is made of the simulation and experimental results.

Robust stabilization control of a spatial inverted pendulum using integral sliding mode controller

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ishan Chawla ◽  
Vikram Chopra ◽  
Ashish Singla
Keyword(s):  
Inverted Pendulum ◽  
Sliding Mode ◽  
Robust Stabilization ◽  
Linear Quadratic Regulator ◽  
Humanoid Robots ◽  
Sliding Mode Controller ◽  
Linear Quadratic ◽  
Integral Sliding Mode ◽  
Wide Range ◽  
Lqr Controller

AbstractFrom the last few decades, inverted pendulums have become a benchmark problem in dynamics and control theory. Due to their inherit nature of nonlinearity, instability and underactuation, these are widely used to verify and implement emerging control techniques. Moreover, the dynamics of inverted pendulum systems resemble many real-world systems such as segways, humanoid robots etc. In the literature, a wide range of controllers had been tested on this problem, out of which, the most robust being the sliding mode controller while the most optimal being the linear quadratic regulator (LQR) controller. The former has a problem of non-robust reachability phase while the later lacks the property of robustness. To address these issues in both the controllers, this paper presents the novel implementation of integral sliding mode controller (ISMC) for stabilization of a spatial inverted pendulum (SIP), also known as an x-y-z inverted pendulum. The structure has three control inputs and five controlled outputs. Mathematical modeling of the system is done using Euler Lagrange approach. ISMC has an advantage of eliminating non-robust reachability phase along with enhancing the robustness of the nominal controller (LQR Controller). To validate the robustness of ISMC to matched uncertainties, an input disturbance is added to the nonlinear model of the system. Simulation results on two different case studies demonstrate that the proposed controller is more robust as compared to conventional LQR controller. Furthermore, the problem of chattering in the controller is dealt by smoothening the controller inputs to the system with insignificant loss in robustness.

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