Overview of some theoretical and experimental results on modeling and control of shear flows

2002 ◽  
Author(s):  
I. Mezic ◽  
S. Narayanan
Keyword(s):  
Shear Flows ◽  
Experimental Results ◽  
Modeling And Control ◽  
And Control

Isolation Application of Controlled and Uncontrolled Magnetorheological Dampers for Random Base Excitaion

2005 ◽  
Author(s):  
A. Narimani ◽  
M. F. Golnaraghi
Keyword(s):  
Base Isolation ◽  
Mr Damper ◽  
Optimization Method ◽  
Experimental Results ◽  
Base Excitation ◽  
Modeling And Control ◽  
Isolation Systems ◽  
Active Damper ◽  
Suspension Model ◽  
And Control

This paper presents experimental investigation of modeling and control of magnetorhological damper for transient base excitation inputs. Force characteristics of a commercially available MR damper (RD-1005-3) for shock and other transient base excitation are analytically obtained and validated using a scaled suspension model. The proposed model characterizes damper behavior more accurately and efficiently for analytical applications. The time and frequency responses of the developed model are compared with the experimental results and show good agreement. Finally, using the RMS optimization method the performance of the system for different types of controllers is compared with the optimal values of linear isolator system. Experimental results show that the performance of base isolation systems for transient and shock inputs significantly improves by utilizing a controlled semi-active damper over uncontrolled MR damper or an optimally designed passive isolator.

scholarly journals Neural networks on-line optimized PID controller with wind gust rejection for a quad-rotor

2021 ◽  
Author(s):  
Chiraz Ben Jabeur ◽  
Hassene Seddik
Keyword(s):  
Neural Networks ◽  
Experimental Results ◽  
Wind Gust ◽  
Pd Controller ◽  
Hostile Environment ◽  
Modeling And Control ◽  
Self Tuning ◽  
On Line ◽  
Hostile Environments ◽  
And Control

Abstract In this paper a complete methodology of modeling and control of quad-rotor aircraft is exposed. In fact, a PD on-line optimized Neural Networks Approach (PD-NN) is developed and applied to control the attitude of a quad-rotor that is evolving in hostile environment with wind gust disturbances and should maintain its position despite of these troubles. Whereas PD classical controllers are dedicated for the positions, altitude and speed control. The main objective of this work is to develop a smart Self-Tuning PD controller for attitude angles control, based on neural networks capable of controlling the quad-rotor for an optimized performance thus following a desired trajectory. Many problems could arise if the quad-rotor is evolving in hostile environments presenting irregular troubles such as wind gusts modeled and applied to the overall system. The quad-rotor has to rapidly achieve tasks while guaranteeing stability and precision and must behave quickly with regards to decision making fronting turbulences. This technique offers some advantages over conventional control methods such as PD controllers. Simulation results are achieved with the use of Matlab/Simulink environment and are established on a comparative study between PD and PD-NN controllers founded on wind disturbances application. These obstacles are applied with numerous degrees of strength to test the quad-rotor comportment. Experimental results are reached with the use of the V-REP environment with which some trajectories are tracked and then applied on a BLADE Inductrix FPV+. These simulations and experimental results are acceptable and have confirmed the efficiency of the proposed PD-NN approach. In fact, this controller has fairly smaller errors than the PD controller and has an improved ability to reject troubles. Moreover, it has confirmed to be extremely vigorous and efficient fronting disturbances in the form of wind disturbances.

Modeling and Control of a Highly Modular Underwater Vehicle with Experimental Results

2021 ◽  
Author(s):  
Erik Rentzow ◽  
Thilo Muller ◽  
Matthias Golz ◽  
Sebastian Ritz ◽  
Martin Kurowski ◽  
...  
Keyword(s):  
Underwater Vehicle ◽  
Experimental Results ◽  
Modeling And Control ◽  
And Control

A MODIFIED C-DUMP CONVERTER FOR PMSM MACHINE USED IN A FLYWHEEL ENERGY STORAGE SYSTEM

2014 ◽  
pp. 164-168
Author(s):  
K. GOPI ◽  
E. RAMAKRISHNA ◽  
K. NARASIMHAIAH ACHARI ◽  
G. KISHORE
Keyword(s):  
Energy Storage ◽  
Control Strategy ◽  
Storage System ◽  
Energy Storage System ◽  
Experimental Results ◽  
Flywheel Energy Storage ◽  
Modeling And Control ◽  
Flywheel Energy Storage System ◽  
And Control

This paper presents a modified C-dump converter for permanent magnetic synchronous (PMSM) machine used in the flywheel energy storage system. The converter can realize the energy bidirectional flowing and has the capability to recover the energy extracted from the turnoff phase of the PMSM machine. The principle of operation, modeling, and control strategy of the system has been investigated in the paper. Simulation and experimental results of the proposed system are also presented and discussed.

scholarly journals Quadcopter Modeling and Control Using Controller Hardware-in-the-Loop

2021 ◽  
Author(s):  
LARA TAVARES DE OLIVEIRA ◽  
KAIQUE SILVEIRA VIANA COSTA ◽  
KENEDY MATIASSO PORTELLA ◽  
LUCAS VIZZOTTO BELLINASO ◽  
FERNANDA DE MORAIS CARNIELUTTI ◽  
...  
Keyword(s):  
Real Time ◽  
Experimental Results ◽  
Vehicle Stability ◽  
Hardware In The Loop ◽  
Reference Tracking ◽  
Modeling And Control ◽  
The Real ◽  
Adequate Control ◽  
Laboratory Setup ◽  
And Control

Quadcopters have many applications and an efficient controller is needed for reference tracking and to maintain vehicle stability. Quadcopter tests may require expensive laboratory setup to include certain conditions such as wind, with adequate control and monitoring. In this paper a bench markmodel of quadcopter is implemented in Hardware-In-the-Loop, in order to test the quadcopter controller considering different conditions of wind. For experimental results, an LQT controller has been implemented in a DSP, while the quadcopter was implemented in the real-time simulator Typhoon HIL.

scholarly journals Selection and Validation of Mathematical Models of Power Converters using Rapid Modeling and Control Prototyping Methods

2018 ◽  
Vol 8 (3) ◽  
pp. 1551 ◽  
Author(s):  
Fredy Edimer Hoyos ◽  
John Edwin Candelo ◽  
John Alexander Taborda
Keyword(s):  
Power Converters ◽  
Experimental Tests ◽  
Power Converter ◽  
Buck Converter ◽  
Experimental Results ◽  
Mathematical Representation ◽  
Modeling And Control ◽  
Rapid Control Prototyping ◽  
The Stability ◽  
And Control

This paper presents a methodology based on two interrelated rapid prototyping processes in order to find the best correspondence between theoretical, simulated, and experimental results of a power converter controlled by a digital PWM. The method supplements rapid control prototyping (RCP) with effective math tools to quickly select and validate models of a controlled system. We show stability analysis of the classical and two modified buck converter models controlled by zero average dynamics (ZAD) and fixed-point induction control (FPIC). The methodology consists of obtaining the mathematical representation of power converters with the controllers and the Lyapunov Exponents (LEs). Besides, the theoretical results are compared with the simulated and experimental results by means of one- and two-parameter bifurcation diagrams. The responses of the three models are compared by changing the parameter K_s of the ZAD and the parameter N of the FPIC. The results show that the stability zones, periodic orbits, periodic bands, and chaos are obtained for the three models, finding more similarities between theoretical, simulated, and experimental tests with the third model of the buck converter with ZAD and FPIC as it considers more parameters related to the losses in different elements of the system. Additionally, the intervals of the chaos are obtained by using the LEs and validated by numerical and experimental tests

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