Virtual-Design-Model-Based Pressure-Tracking Control of High-Dynamic Pneumatic Valves Using a Sliding Mode Controller Combined with a Proportional-Integral-Derivative Scheme

2006 ◽  
Vol 220 (5) ◽  
pp. 353-364 ◽  
Author(s):  
S. H. Cho ◽  
M Fiedler ◽  
F Rüdiger ◽  
S Helduser
Keyword(s):  
Tracking Control ◽  
Sliding Mode ◽  
Design Model ◽  
Sliding Mode Controller ◽  
Proportional Integral Derivative ◽  
Virtual Design ◽  
Proportional Integral ◽  
Model Based ◽  
Pneumatic Valves ◽  
High Dynamic

A new fractional sliding mode controller based on nonlinear fractional-order proportional integral derivative controller structure to synchronize fractional-order chaotic systems with uncertainty and disturbances

2021 ◽  
pp. 107754632098245
Author(s):  
Seyede Zeynab Mirrezapour ◽  
Assef Zare ◽  
Majid Hallaji
Keyword(s):  
Fractional Order ◽  
Chaotic Systems ◽  
Sliding Mode ◽  
Control Law ◽  
Sliding Mode Controller ◽  
Proportional Integral Derivative ◽  
Lyapunov Theorem ◽  
Control Approach ◽  
Proportional Integral ◽  
Bounded Disturbance

This study presents a new fractional sliding mode controller based on nonlinear fractional-order proportional integral derivative controllers to synchronize fractional-order chaotic systems with uncertainties and affected by disturbance. According to the proposed control approach, a new fractional order control law is presented which ensures robust and stable synchronization of chaotic systems in the presence of uncertainties of the master and slave systems and bounded disturbance according to Lyapunov theorem. The proposed sliding mode controller is used to synchronize two non-smooth chaotic jerk systems affected by disturbance and uncertainty. Simulation results verify effectiveness and robustness of the proposed control law.

scholarly journals Design of hybrid sliding mode controller based on fireworks algorithm for nonlinear inverted pendulum systems

2017 ◽  
Vol 9 (1) ◽  
pp. 168781401668427 ◽  
Author(s):  
Te-Jen Su ◽  
Shih-Ming Wang ◽  
Tsung-Ying Li ◽  
Sung-Tsun Shih ◽  
Van-Manh Hoang
Keyword(s):  
Inverted Pendulum ◽  
Sliding Mode ◽  
Linear Quadratic Regulator ◽  
Sliding Mode Controller ◽  
Proportional Integral Derivative ◽  
Linear Quadratic ◽  
Pendulum System ◽  
Fireworks Algorithm ◽  
Simulation Process ◽  
Inverted Pendulum System

The objective of this article is to optimize parameters of a hybrid sliding mode controller based on fireworks algorithm for a nonlinear inverted pendulum system. The proposed controller is a combination of two modified types of the classical sliding mode controller, namely, baseline sliding mode controller and fast output sampling discrete sliding mode controller. The simulation process is carried out with MATLAB/Simulink. The results are compared with a published hybrid method using proportional–integral–derivative and linear quadratic regulator controllers. The simulation results show a better performance of the proposed controller.

Direct Adaptive Fuzzy Moving Sliding Mode Proportional Integral Tracking Control of a Three-Dimensional Overhead Crane

2016 ◽  
Vol 138 (10) ◽  
Author(s):  
Tsung-Chih Lin ◽  
Yu-Chen Lin ◽  
Majid Moradi Zirkohi ◽  
Hsi-Chun Huang
Keyword(s):  
Tracking Control ◽  
Sliding Mode ◽  
Three Dimensional ◽  
Overhead Crane ◽  
Nonlinear Controller ◽  
Proportional Integral ◽  
Adaptive Fuzzy ◽  
Highly Nonlinear ◽  
Position Regulation ◽  
Robust Regulation

In this paper, a novel direct adaptive fuzzy moving sliding mode proportional integral (PI) tracking control of a three-dimensional (3D) overhead crane which is modeled by five highly nonlinear second-order ordinary differential equations is proposed. The fast and robust position regulation and antiswing control can be achieved based on the proposed approach. Due to universal approximation theorem, fuzzy control provides nonlinear controller, i.e., fuzzy logic controllers, to perform the unknown nonlinear control actions. Simultaneously, in order to achieve fast and robust regulation and to enhance robustness in the presence of disturbance and parameter variations, moving sliding mode control (SMC) is introduced to tradeoff between reaching phase and sliding phase. Hence, the sliding surface is moved by changing the magnitude of the slope by adaptive law and varying the intercept by tuning algorithm. Simulations performed using a scaled 3D mathematical model of the crane confirm that the proposed control scheme can keep the horizontal position of the payload invariable and suppress the swing of the payload effectively during the hoisting or lowing process.

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