ADAMS/MATLAB Co-Simulation: Dynamic Systems Analysis and Control Tool

2012 ◽  
Vol 232 ◽  
pp. 527-531 ◽  
Author(s):  
L. Ángel ◽  
M.P. Pérez ◽  
C. Díaz-Quintero ◽  
C. Mendoza
Keyword(s):  
Simulation Model ◽  
Dynamic Simulation ◽  
Dynamic Systems ◽  
Control Strategy ◽  
Systems Analysis ◽  
Double Pendulum ◽  
Simulation Methodology ◽  
Development And Validation ◽  
And Control ◽  
Control Tool

In this paper a dynamic simulation methodology of systems is presented by using ADAMS/MATLAB co-simulation. This methodology allows simulation, development and validation of different control strategiesfor robotic manipulator models in a fast way. It provides a first stage into the design of robotic prototypes for researchers and professionals. Finally, the methodology was validated by constructing a simulation model of a double pendulum and by implementing a PD type control strategy.

NEURAL MODELING AND CONTROL OF DYNAMIC SYSTEMS WITH HYSTERESIS

2007 ◽  
Vol 31 (1) ◽  
pp. 127-141
Author(s):  
Yonghong Tan ◽  
Xinlong Zhao
Keyword(s):  
Dynamic Systems ◽  
Control Strategy ◽  
Neural Modeling ◽  
Modeling And Control ◽  
Control Scheme ◽  
The Neural Networks ◽  
Adaptive Control Strategy ◽  
Set Up ◽  
Modeling Strategy ◽  
And Control

A hysteretic operator is proposed to set up an expanded input space so as to transform the multi-valued mapping of hysteresis to a one-to-one mapping so that the neural networks can be applied to model of the behavior of hysteresis. Based on the proposed neural modeling strategy for hysteresis, a pseudo control scheme is developed to handle the control of nonlinear dynamic systems with hysteresis. A neural estimator is constructed to predict the system residual so that it avoids constructing the inverse model of hysteresis. Thus, the control strategy can be used for the case where the output of hysteresis is unmeasurable directly. Then, the corresponding adaptive control strategy is presented. The application of the novel modeling approach to hysteresis in a piezoelectric actuator is illustrated. Then a numerical example of using the proposed control strategy for a nonlinear system with hysteresis is presented.

scholarly journals A Biologically-Inspired Dynamic Legged Locomotion With a Modular Reconfigurable Robot

2008 ◽  
Author(s):  
Jimmy Sastra ◽  
Willy Giovanni Bernal Heredia ◽  
Jonathan Clark ◽  
Mark Yim
Keyword(s):  
Experimental Data ◽  
Dynamic Simulation ◽  
Control Strategy ◽  
Legged Locomotion ◽  
Modular Robots ◽  
Robot Design ◽  
Biologically Inspired ◽  
Reconfigurable Robot ◽  
Robot Configuration ◽  
And Control

Reconfigurable Modular robots can adapt their morphologies and their gaits for locomotion through different environments, whether like a snake for moving through constrained spaces or in a wheel-like shape for efficient and fast rolling on flat terrain. This paper proposes a new, scalable biologically-inspired legged style of locomotion for this class of robots. Passively compliant leg attachments are utilized to achieve a dynamic running gait using body articulation. A dynamic simulation as well as experimental data showing that we have achieved stable dynamic locomotion is presented. Although the robot design and control strategy are, in principle, scalable to any number of leg pairs, results are given for a hexapedal robot configuration. This prototype represents the first example of dynamic legged locomotion driven only by body articulation.

scholarly journals Simulation Model of Hybrid Shunting Locomotive

2020 ◽  
Vol 5 (3) ◽  
pp. 75-90
Author(s):  
Zdeněk Mašek ◽  
Václav Lenoch ◽  
Tomáš Lelek
Keyword(s):  
Diesel Engine ◽  
Simulation Model ◽  
Control Strategy ◽  
Lithium Batteries ◽  
Hybrid Drive ◽  
Energy Flows ◽  
Proper Size ◽  
And Control

The paper describes the simulation model of the hybrid shunting locomotive. The hybrid drive consists of the diesel engine supplemented with lithium batteries. The simulation model is created in order to analyse energy flows, determine influence of the component proper size and control strategy.

scholarly journals Sensitivity analysis of a stochastic simulation model for foot and mouth disease

2010 ◽  
Vol 53 (5) ◽  
pp. 529-544 ◽  
Author(s):  
I. Traulsen ◽  
G. Rave ◽  
J. Krieter
Keyword(s):  
Sensitivity Analysis ◽  
Simulation Model ◽  
Control Strategy ◽  
Foot And Mouth Disease ◽  
Mouth Disease ◽  
Fractional Factorial ◽  
Eu Directive ◽  
Local Spread ◽  
Foot And Mouth ◽  
And Control

Abstract. A spatial and temporal Monte-Carlo simulation model was developed to analyse the epidemiology and control of foot and mouth disease (FMD). Animal, people and vehicle contacts as well as airborne and local spread represented the FMD virus transmission between farms housing cattle, pigs or sheep. Contacts were explicitly modelled by routes, airborne transmission by the Gaussian Dispersion model and local spread by distance dependent transmission probabilities. Control measures were implemented according to the EU Directive (2003/85/EG). A sensitivity analysis with a two-level fractional factorial design was used to examine the robustness of the simulation model to extreme input values. The influence of eleven input parameters and interactions between them were estimated: ability of airborne spread, duration of the incubation period, time from infection until infectivity, time from onset of clinical signs until diagnosis, farm density, type of index case, number of farms visited per route, visiting interval, type of the animal sales, control strategy, and delay until start of control strategies. The considered parameters as well as certain two-factor interactions between them showed a significant impact on the epidemic duration and the number of infected and culled farms. Particularly, the parameter airborne spread, farm density, number of farms visited per route and control strategy influenced the course of the epidemic. The consideration of airborne spread as well as the implementation of contacts between farms with routes allowed a detailed analysis of these transmission paths.

Development and validation of a dynamic simulation model for a large coal-fired power plant

2015 ◽  
Vol 91 ◽  
pp. 496-506 ◽  
Author(s):  
Ralf Starkloff ◽  
Falah Alobaid ◽  
Karl Karner ◽  
Bernd Epple ◽  
Martin Schmitz ◽  
...  
Keyword(s):  
Power Plant ◽  
Simulation Model ◽  
Dynamic Simulation ◽  
Dynamic Simulation Model ◽  
Development And Validation

Design and Simulation of Power System for Hybrid Sweeper Truck

2013 ◽  
Vol 389 ◽  
pp. 435-440
Author(s):  
Bing Li Zhang ◽  
Lun Zhen Wang ◽  
Fu Bin Xiao ◽  
Xin Ying Ou
Keyword(s):  
Power System ◽  
Simulation Model ◽  
Fuel Consumption ◽  
Hybrid System ◽  
Fuel Economy ◽  
Control Strategy ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Simulation Results ◽  
And Control

A hybrid system scheme was designed for the sweeper truck, to solve the problems of high fuel consumption and poor emission performance of traditional sweeper. The control strategy was determined for the hybrid power system. The simulation model of hybrid sweeper truck was built with Matlab/Simulink, and off-line simulation was completed to verify the power system scheme and control strategy, the simulation results indicate that the hybrid sweep truck can realize functions of sweeper and improve the fuel economy.

A Data Driven Modeling and Simulation Methodology for Automotive Assembly Plant

2011 ◽  
Vol 346 ◽  
pp. 228-235 ◽  
Author(s):  
Nan Wang ◽  
Shi Qi Li ◽  
Jun Feng Wang
Keyword(s):  
Data Structure ◽  
Modeling And Simulation ◽  
Simulation Model ◽  
Production System ◽  
Assembly Line ◽  
Data Driven ◽  
Simulation Methodology ◽  
Automotive Assembly ◽  
Data Driven Modeling ◽  
And Control

Simulation offers a quick, controllable and tunable approach for prototyping complex assembly processes in manufacturing environments. In order to improve the responsiveness of production system, this paper proposes a new approach based on data driven modeling and simulation methodology, it can automatically generate the simulation model of production system and realize rapid modification. The generated model also has high efficiency, readability and reusability. The approach is developed for an automotive assembly line. Through the modeling approach of IDEF1X, a data structure of simulation model was constructed, a model simulator was implemented in Arena by VBA program, and then a simulation model for target production system was built automatically through the attribute values in the data structure. The management and control process of assembly line is divided into different levels by hierarchical modeling approach, modeling element and control logic of simulation are separated. The case study of the automotive assembly line demonstrates the validity of data driven modeling and simulation methodology.

Dynamic Simulation and Control Strategy of Centrifugal Flying Shear

2009 ◽  
Vol 16-19 ◽  
pp. 278-282
Author(s):  
Jin Chun Song ◽  
Chang Zhou Wang ◽  
Dong Xu
Keyword(s):  
Dynamic Simulation ◽  
Control Strategy ◽  
Optimization Design ◽  
Three Dimensional ◽  
Three Dimensional Model ◽  
Production Lines ◽  
Electronic Control System ◽  
Working Principle ◽  
Parameter Optimization Design ◽  
And Control

Centrifugal Flying Shear is one of the most advanced equipments, which is widely used in tandem mill production lines because of its simple structure and high shearing precision. In this paper, the working principle of the centrifugal flying shear was introduced; the three-dimensional model of the centrifugal flying shear was established; the structural analysis and the dynamic simulation of the flying shear, with the movement rule and trajectory, were made based on MATLAB/SimMechanics and Solidworks/COSMOS Motion; and the control strategy of realizing scale shearing was proposed. The results obtained provide theoretical basis for design of the electronic control system, and facilitate further analysis of the shearing process and parameter optimization design of similar flying shears.

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