A Decentralized Neuro-Adaptive Control Scheme to Suppress Chaotic/Hyperchaotic Dynamics of Smart Valves Network

2018 ◽  
Vol 13 (5) ◽  
Author(s):  
Peiman Naseradinmousavi ◽  
Hashem Ashrafiuon ◽  
Mostafa Bagheri
Keyword(s):  
Initial Conditions ◽  
Adaptive Method ◽  
Critical Parameters ◽  
Computationally Efficient ◽  
Adaptive Scheme ◽  
Computational Burden ◽  
Trade Offs ◽  
Control Scheme ◽  
Practical Feasibility ◽  
Adaptive Control Scheme

In this effort, we utilize a decentralized neuro-adaptive scheme in extinguishing both the chaotic and hyperchaotic dynamics of the so-called “Smart Valves” network. In particular, a network of two dynamically interconnected bidirectional solenoid actuated butterfly valves undergoes the harmful chaotic/hyperchaotic dynamics subject to some initial conditions and critical parameters. Crucial trade-offs, including robustness, computational burden, and practical feasibility of the control scheme, are thoroughly investigated. The advantages and shortcomings of the decentralized neuro-adaptive method are compared with those of the direct decentralized adaptive one to yield a computationally efficient, practically feasible, and robust scheme in the presence of the coupled harmful responses.

Suppressing Chaotic/Hyperchaotic Dynamics of Smart Valves Network Using Decentralized and Centralized Schemes

2017 ◽  
Author(s):  
Mostafa Bagheri ◽  
Peiman Naseradinmousavi ◽  
Hashem Ashrafiuon ◽  
Marcello Canova ◽  
David B. Segala
Keyword(s):  
Oil And Gas ◽  
Initial Conditions ◽  
Computational Cost ◽  
Critical Parameters ◽  
Oil And Gas Fields ◽  
Trade Offs ◽  
Control Schemes ◽  
Piping Systems ◽  
Gas Fields ◽  
Practical Feasibility

In this effort, we present a comprehensive comparative study of decentralized and centralized adaptive schemes to control the so-called “Smart Valves” network employed in many applications including, but not limited to, Municipal Piping Systems and oil and gas fields. The network being considered here typically includes scores of coupled solenoid actuated butterfly valves. We here examine the multiphysics network of two interconnected actuated sets. The network undergoes the coupled chaotic and hyperchaotic dynamics subject to some initial conditions and critical parameters. The control schemes’ trade-offs are thoroughly investigated with respect to robustness, computational cost, and practical feasibility of control inputs in the presence of strong nonlinear interconnections and harmful chaotic and hyperchaotic responses.

scholarly journals A Frequency Adaptive Scheme Based on Newton Structure of PRRC for LCL-Type Inverter Connected with Weak Grid

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4225
Author(s):  
Chengbi Zeng ◽  
Sudan Li ◽  
Hanwen Wang ◽  
Hong Miao
Keyword(s):  
Repetitive Control ◽  
Harmonic Distortion ◽  
Adaptive Scheme ◽  
Computational Burden ◽  
Weak Grid ◽  
Control Scheme ◽  
Sample Frequency ◽  
Fractional Delay ◽  
Pr Controller ◽  
Online Tuning

Repetitive control (RC) is gradually used in inverters tied with weak grid. To achieve the zero steady-state error tracking of inverter current and compensate the harmonic distortion caused by frequency fluctuation, a frequency adaptive (FA) control scheme for LCL-type inverter connected with weak grid is proposed. This scheme adopts a proportional resonance (PR) controller in parallel with RC (PRRC) to overcome the disadvantages caused by RC inherent one-cycle time delay. A fractional delay (FD) filter based on the Newton structure is proposed to approximate the fraction item of fs/f, where fs and f are sample frequency and grid frequency, respectively. The structure of the proposed FD filter is relatively simple; moreover, coefficients of the filter maintain constant so as not to need online tuning even when grid frequency fluctuates, which decreases the computational burden considerably. The feasibility and effectiveness of the proposed FA control scheme, named as Newton-FAPRRC, are all verified by the simulation and experimental results.

A generalized scheme for the global adaptive regulation of robot manipulators with bounded inputs

Robotica ◽  
2013 ◽  
Vol 31 (7) ◽  
pp. 1103-1117 ◽  
Author(s):  
D. J. López-Araujo ◽  
A. Zavala-Río ◽  
V. Santibáñez ◽  
F. Reyes
Keyword(s):  
Adaptive Control ◽  
Robot Manipulators ◽  
Experimental Results ◽  
Gravity Compensation ◽  
Adaptive Scheme ◽  
Adaptive Regulation ◽  
Control Scheme ◽  
Bounded Input ◽  
Adaptive Approaches ◽  
Adaptive Control Scheme

SUMMARYIn this work, a generalized adaptive control scheme for the global position stabilization of robot manipulators with bounded inputs is proposed. It gives rise to various families of bounded controllers with adaptive gravity compensation. Compared with the adaptive approaches previously developed in a bounded-input context, the proposed scheme guarantees the adaptive regulation objective: globally, avoiding discontinuities in the control expression as well as in the adaptation auxiliary dynamics, preventing the inputs to reach their natural saturation bounds, and imposing no saturation-avoidance restriction on the control gains. Experimental results corroborate the efficiency of the proposed adaptive scheme.

Design and Performance Studies of Model-Based Variable-Structure Adaptive Controllers for Industrial Manipulators

1992 ◽  
Vol 206 (4) ◽  
pp. 245-262 ◽  
Author(s):  
S K Tso ◽  
P L Law
Keyword(s):  
Performance Studies ◽  
Variable Structure ◽  
Adaptive Controllers ◽  
Model Based ◽  
Trade Offs ◽  
Control Scheme ◽  
Industrial Manipulators ◽  
And Performance ◽  
Distinguishing Features ◽  
Adaptive Control Scheme

A model-based variable-structure adaptive control scheme recently proposed for the trajectory tracking of robot manipulators has shown significant promise. By actual implementation with a commercial manipulator, the practical means for improvement are examined, the design trade-offs are systematically explored, and the distinguishing features of the performance achievable in the improved version are brought out and compared with those of earlier schemes.

CHAOS SYNCHRONIZATION OF AN UNCERTAIN LORENZ HYPERCHAOTIC SYSTEM VIA A MODIFIED ADAPTIVE METHOD

2010 ◽  
Vol 24 (09) ◽  
pp. 1093-1101
Author(s):  
XIANGJUN WU ◽  
DONGDONG FENG ◽  
GUANRONG CHEN
Keyword(s):  
Chaos Synchronization ◽  
Lyapunov Stability Theory ◽  
Adaptive Method ◽  
Hyperchaotic System ◽  
Sufficient Condition ◽  
System Parameters ◽  
Control Scheme ◽  
Unknown System ◽  
Synchronization Scheme ◽  
Adaptive Control Scheme

A modified adaptive control scheme for synchronization of an uncertain Lorenz hyperchaotic system is proposed. Based on the Lyapunov stability theory, the sufficient condition for the synchronization is analyzed and proved theoretically. With the condition derived, parameter identification and synchronization of the Lorenz hyperchaotic system with all the unknown system parameters can be achieved simultaneously. Numerical simulations are presented to illustrate the effectiveness of the proposed synchronization scheme.

scholarly journals Enhanced Model Reference Adaptive Control Scheme for Tracking Control of Magnetic Levitation System

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1455
Author(s):  
Rahul Sanmugam Gopi ◽  
Soundarya Srinivasan ◽  
Kavitha Panneerselvam ◽  
Yuvaraja Teekaraman ◽  
Ramya Kuppusamy ◽  
...  
Keyword(s):  
Adaptive Control ◽  
Tracking Control ◽  
Magnetic Levitation ◽  
Model Reference ◽  
Adaptive Scheme ◽  
Control Scheme ◽  
Levitation System ◽  
Magnetic Levitation System ◽  
Model Reference Adaptive ◽  
Adaptive Control Scheme

Magnetic Levitation is a process in which an object is suspended with the support of the magnetic field. Despite being an unstable system, Magnetic Levitation Systems (MAGLEV) have profound applications in various fields of engineering. MAGLEV systems are sensitive, unstable, and nonlinear and uncertainties always pose a challenge in Controller Design. As a solution, adaptive controllers came into existence with adaptation mechanisms to cover the system uncertainties. In this study, a simple, novel, and an effective approach to the Enhanced Adaptive Control scheme is proposed for the ball position control and tracking of an unstable Magnetic Levitation System. The proposed Enhanced Model Reference Adaptive Scheme (EMRAC) follows the same phenomenon of the Model Reference Adaptive Scheme (MRAC) with a slight difference in its control strategy. The proposed scheme consists of Proportional-Integral-Velocity plus Feed Forward as the control structure and a modified version of the standard tuning rule is used as the adaptation mechanism. The control scheme is applied to a standard benchmark Magnetic Levitation System and the tracking performance of the scheme is tested by applying square and multi-sine pattern trajectories to the Magnetic Levitation System. The performance of the developed Enhanced MRAC performance is compared with that of the Proportional Integral Velocity with Feedforward Control (PIV+FF) scheme and the proposed control scheme is proven to be more suitable. The performance of the proposed scheme is also analyzed with Power Spectral Density and Root Mean Square Error to evaluate the ball position tracking control. It is inferred from the experimental results that Enhanced MRAC accommodates the changes and makes the system more reliable with good tracking ability.

An Adaptive Centralized Approach to Control Chaotic and Hyperchaotic Dynamics of Smart Valves Network

2017 ◽  
Vol 13 (1) ◽  
Author(s):  
Peiman Naseradinmousavi ◽  
Hashem Ashrafiuon ◽  
Mohammad A. Ayoubi
Keyword(s):  
Initial Conditions ◽  
Coupled Systems ◽  
Critical Parameters ◽  
Centralized Control ◽  
Adaptive Scheme ◽  
Dynamical Behaviors ◽  
In Series

Catastrophic chaotic and hyperchaotic dynamical behaviors have been experimentally observed in the so-called “smart valves” network, given certain critical parameters and initial conditions. The centralized network-based control of these coupled systems may effectively mitigate the harmful dynamics of the valve-actuator configuration which can be potentially caused by a remote set and would gradually affect the whole network. In this work, we address the centralized control of two bi-directional solenoid actuated butterfly valves dynamically coupled in series subject to the chaotic and hyperchaotic dynamics. An interconnected adaptive scheme is developed and examined to vanish both the chaotic and hyperchaotic dynamics and return the coupled network to its safe domain of operation.

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