scholarly journals Adaptive control of algae detachment in regulated canal networks

2013 ◽  
Vol 15 (2) ◽  
pp. 321-334 ◽  
Author(s):  
Ophélie Fovet ◽  
Xavier Litrico ◽  
Gilles Belaud ◽  
Olivier Genthon
Keyword(s):  
Adaptive Control ◽  
Adaptive Controller ◽  
Distribution Networks ◽  
Hydraulic Control ◽  
Flow Meters ◽  
Control Structures ◽  
Canal Network ◽  
Canal Networks ◽  
Hydraulic Shear ◽  
Hydraulic Devices

Open-channel distribution networks are subject to algal developments that can induce major disturbances such as clogging of hydraulic devices (pipes, weirs, filters, flow meters). Flushes can be used as a strategy to manage these algae developments. A flush is carried out by increasing the hydraulic shear conditions using hydraulic control structures of the canal network. In response to the shear stress increase, a part of the fixed algae is detached, then re-suspended into the water column, and finally transported downstream. This leads to a peak of turbidity that has to be controlled. In this paper, we develop a distributed linear model of the turbidity dynamics that is used for real-time adaptive control of the flushes. Simulations show the effectiveness of the adaptive controller, which can, at the same time, estimate the gain of the system, linked to the amount of initial fixed biomass, and perform a flush without exceeding the turbidity limit.

Optimal tuned direct adaptive controller for seismic protecting of structures

2021 ◽  
pp. 1045389X2098878
Author(s):  
Amin Hosseini ◽  
Touraj Taghikhany ◽  
Milad Jahangiri
Keyword(s):  
Sensitivity Analysis ◽  
Adaptive Control ◽  
Optimization Problem ◽  
Adaptive Controller ◽  
Sensitivity Analyses ◽  
Building Structures ◽  
Building Structure ◽  
The Past ◽  
Innovative Method ◽  
Story Building

In the past few years, many studies have proved the efficiency of Simple Adaptive Control (SAC) in mitigating earthquakes’ damages to building structures. Nevertheless, the weighting matrices of this controller should be selected after a large number of sensitivity analyses. This step is time-consuming and it will not necessarily yield a controller with optimum performance. In the current study, an innovative method is introduced to tuning the SAC’s weighting matrices, which dispenses with excessive sensitivity analysis. In this regard, we try to define an optimization problem using intelligent evolutionary algorithm and utilized control indices in an objective function. The efficiency of the introduced method is investigated in 6-story building structure equipped with magnetorheological dampers under different seismic actions with and without uncertainty in the model of the proposed structure. The results indicate that the controller designed by the introduced method has a desirable performance under different conditions of uncertainty in the model. Furthermore, it improves the seismic performance of structure as compared to controllers designed through sensitivity analysis.

An Adaptive Chaos Synchronization with Controller and Secure Communication

2013 ◽  
Vol 401-403 ◽  
pp. 1657-1660
Author(s):  
Bin Zhou ◽  
Xiang Wang ◽  
Yu Gao ◽  
Shao Cheng Qu
Keyword(s):  
Adaptive Control ◽  
Lyapunov Stability ◽  
Stability Theory ◽  
Secure Communication ◽  
Chaos Synchronization ◽  
Lyapunov Stability Theory ◽  
Adaptive Controller ◽  
Adaptive Synchronization ◽  
Sufficient Condition ◽  
Control Parameters

An adaptive controller with adaptive rate is presented to synchronize two chaos systems and to apply to secure communication. Based on Lyapunov stability theory, a sufficient condition and adaptive control parameters are obtained. Finally, the simulation with synchronization and secure communication is given to show the effectiveness of the proposed method. Keywords: adaptive; synchronization; observer; controller.

Adaptive Control of a Sliding Seat Using Magnetorheological Energy Absorbers

2010 ◽  
Author(s):  
Min Mao ◽  
Norman M. Wereley ◽  
Alan L. Browne
Keyword(s):  
Adaptive Control ◽  
Degrees Of Freedom ◽  
Adaptive Controller ◽  
Degree Of Freedom ◽  
Lumped Mass ◽  
Adaptive Controllers ◽  
Bingham Number ◽  
Control Objective ◽  
Payload Mass ◽  
Energy Absorbers

Feasibility of a sliding seat utilizing adaptive control of a magnetorheological (MR) energy absorber (MREA) to minimize loads imparted to a payload mass in a ground vehicle for frontal impact speeds as high as 7 m/s (15.7 mph) is investigated. The crash pulse for a given impact speed was assumed to be a rectangular deceleration pulse having a prescribed magnitude and duration. The adaptive control objective is to bring the payload (occupant plus seat) mass to a stop using the available stroke, while simultaneously accommodating changes in impact velocity and occupant mass ranging from a 5th percentile female to a 95th percentile male. The payload is first treated as a single-degree-of-freedom (SDOF) rigid lumped mass, and two adaptive control algorithms are developed: (1) constant Bingham number control, and (2) constant force control. To explore the effects of occupant compliance on adaptive controller performance, a multi-degree-of-freedom (MDOF) lumped mass biodynamic occupant model was integrated with the seat mass. The same controllers were used for both the SDOF and MDOF cases based on SDOF controller analysis because the biodynamic degrees of freedom are neither controllable nor observable. The designed adaptive controllers successfully controlled load-stroke profiles to bring payload mass to rest in the available stroke and reduced payload decelerations. Analysis showed extensive coupling between the seat structures and occupant biodynamic response, although minor adjustments to the control gains enabled full use of the available stroke.

Implementation of Adaptive Techniques for Motion Control of Robotic Manipulators

1988 ◽  
Vol 110 (1) ◽  
pp. 62-69 ◽  
Author(s):  
M. Tomizuka ◽  
R. Horowitz ◽  
G. Anwar ◽  
Y. L. Jia
Keyword(s):  
Adaptive Control ◽  
Industrial Robot ◽  
Robotic Manipulators ◽  
Adaptive Controller ◽  
Test Stand ◽  
Experimental Results ◽  
Direct Drive ◽  
Adaptive Controllers ◽  
Friction Forces ◽  
Digital Implementation

This paper is concerned with the digital implementation and experimental evaluation of two adaptive controllers for robotic manipulators. The first is a continuous time model reference adaptive controller, and the second is a discrete time adaptive controller. The primary purpose of these adaptive controllers is to compensate for inertial variations due to changes in configuration and payload, as well as disturbances, such as Coulomb friction and/or gravitational forces. Experimental results are obtained from a laboratory test stand, which emulates an one-axis direct drive robot arm with variable inertia, as well as a Toshiba TSR-500V industrial robot. Experimental results from the test stand indicate that these adaptive control schemes are promising for the control of direct drive robot arms. Friction forces arising from the harmonic gear of the Toshiba robot were detrimental if not properly compensated. Because of a high gearing ratio, the advantage of adaptive control for the Toshiba arm could be shown only by detuning the controller.

scholarly journals Experimental Investigation of Adaptive Control Applied to HSFD Supported Rotors

1999 ◽  
Author(s):  
A. El-Shafei ◽  
M. El-Hakim
Keyword(s):  
Experimental Investigation ◽  
Adaptive Control ◽  
Reference Model ◽  
Computer Control ◽  
Adaptive Controller ◽  
Superior Performance ◽  
Order System ◽  
Squeeze Film ◽  
Run Up ◽  
Model Reference Adaptive

This paper describes the experimental application of adaptive control to Hybrid Squeeze Film Damper (HSFD) supported rotors. The HSFD has been shown to be an adaptive damper capable of providing infinite damper configurations between short and long damper configurations. Previously, theoretical investigations of the adaptive control of HSFD concentrated on the development of the model reference adaptive control (MRAC) method, as well as development of a nonlinear reference model. Simulations of the performance of the adaptive controller during run-up and coast-down indicated the superior performance of the adaptive controller. In this paper, the adaptive controller is tested on a multi-mode rotor. A test rig is designed and developed using computer control. A simple reference model is investigated consisting of a second order system. Three forms for adaptation gain are studied. The results of the experimental investigation illustrated the performance capabilities of the adaptive controller applied to the HSFD, and moreover indicated the possibility of simple design for the adaptive controller.

scholarly journals RBF Neural Network Backstepping Sliding Mode Adaptive Control for Dynamic Pressure Cylinder Electrohydraulic Servo Pressure System

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-16
Author(s):  
Pan Deng ◽  
Liangcai Zeng ◽  
Yang Liu
Keyword(s):  
Neural Network ◽  
Adaptive Control ◽  
Sliding Mode ◽  
Model Simulation ◽  
Rbf Neural Network ◽  
Dynamic Pressure ◽  
Adaptive Controller ◽  
Pressure System ◽  
Output Pressure ◽  
Pressure Cylinder

According to the hydraulic principle diagram of the subgrade test device, the dynamic pressure cylinder electrohydraulic servo pressure system math model and AMESim simulation model are established. The system is divided into two parts of the dynamic pressure cylinder displacement subsystem and the dynamic pressure cylinder output pressure subsystem. On this basis, a RBF neural network backstepping sliding mode adaptive control algorithm is designed: using the double sliding mode structure, the two RBF neural networks are used to approximate the uncertainties in the two subsystems, provide design methods of RBF sliding mode adaptive controller of the dynamic pressure cylinder displacement subsystem and RBF backstepping sliding mode adaptive controller of the dynamic pressure cylinder output pressure subsystem, and give the two RBF neural network weight vector adaptive laws, and the stability of the algorithm is proved. Finally, the algorithm is applied to the dynamic pressure cylinder electrohydraulic servo pressure system AMESim model; simulation results show that this algorithm can not only effectively estimate the system uncertainties, but also achieve accurate tracking of the target variables and have a simpler structure, better control performance, and better robust performance than the backstepping sliding mode adaptive control (BSAC).

Design of a Disturbance Accommodating Adaptive Control System and Its Application to a DC-Servo Motor System With Coulomb Friction

1988 ◽  
Vol 110 (4) ◽  
pp. 343-349 ◽  
Author(s):  
P. N. Nikiforuk ◽  
K. Tamura
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Coulomb Friction ◽  
Motor System ◽  
Position Control ◽  
Adaptive Controller ◽  
Analog Computer ◽  
Adaptive Control System ◽  
Servo Motor ◽  
Analytical Functions

This paper discusses the design of a model reference type of adaptive control system for a linear unknown plant with system and observation disturbances. The disturbances are assumed to be approximately expressed by step, sinusoidal, and other analytical functions. The design of a controller, called a disturbance accommodating adaptive controller (DAAC), which eliminates the effect of these disturbances at the plant output, is described. Two types of bias DAAC are given as examples and are applied to the adaptive control of a DC-servo motor system. The plant (the DC-servo system) consists of two unknown loads connected through an electrical clutch and Coulomb friction. The effect of the friction on the plant is considered as an unknown bias disturbance and the DAAC is implemented on an analog computer. Experimental results for the position control of the DAAC system are given.

Direct Torque Control of Bearingless Induction Motor Using Space Vector Pulse Width Modulation Based on Fuzzy Adaptive Control

2011 ◽  
Vol 383-390 ◽  
pp. 7321-7327
Author(s):  
Luo Fei Wan ◽  
Xian Xing Liu ◽  
Zheng Qi Wang ◽  
Jin Wei Zhou
Keyword(s):  
Adaptive Control ◽  
Induction Motor ◽  
Pulse Width ◽  
Pulse Width Modulation ◽  
Adaptive Controller ◽  
Pi Controller ◽  
Space Vector ◽  
Fuzzy Adaptive Control ◽  
Fuzzy Adaptive Controller ◽  
Fuzzy Adaptive

This paper presents a new strategy of direct torque controller for bearingless induction motor using space vector pulse width modulation based on fuzzy adaptive control. when we use direct torque controller using space vector pulse width modulation to take decoupling, the parameters of PI controller which generating the reference voltage vector in conventional SVM-DTC are difficult to determine the dynamic operation. In order to improve away the disadvantages of conventional SVM-DTC system, flux and torque fuzzy adaptive controller were designed to substitute the original flux and torque PI controller in the controlling for bearingless induction motor using space vector pulse width modulation. With the fuzzy algorithm, it is easy to obtain the control voltage component of the flux and torque respectively. Two voltage vectors achieve real-time adjustment and solve the disturbance problems in torque loop and flux loop. In this paper, the design process of the fuzzy adaptive controller is given. Use Matlab/Simulink to check the improved and traditional SVM-DTC method. The results show that the improved algorithms have a better performance in reducing the ripple of torque, flux and Rotor displacement when compared with the tradition DTC method. And it also improves the system dynamic performance.

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