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This paper firstly elaborates the video transmission quality evaluation methods, and gives an overall scheme of video transmission simulation and quality evaluation system, then based on the open-source network simulation software NS-2, realizing the the entire system, finally, simulation experiments are provided to demonstrate the feasibility of the system, the result shows that the video transmission...
A new simulation analysis algorithms establishing wireless sensor networks communication path based on ant algorithm was proposed. The local optimization problem Occurred in large-scale sensor nodes is solved. The new algorithm has good scalability and dynamic adaptability and is very effective to determiner multi-node wireless sensor network communication processes. The algorithm is feasible through...
The electric arc furnace electrode regulator system of adaptive control problem. First proposed the mine thermal electric arc furnace electrode regulator system model, the adaptive algorithm derived sub-model obtained electric arc furnace electrode regulator system of piecewise linear mathematical model. On this basis, were electric arc furnace electrode regulator adaptive control system derived arc...
Physical and chemical processes in the Urea-SCR system are simulated by using computational fluid dynamics CFD and chemical kinetics methods. The best location of nozzle and the suitable number of nozzle holes have been held through the analysis of the simulation results, which provides a reference about the optimal design for the catalytic converters.
The electro-hydraulic power steering(EHPS) system model were established by analyzing the structure and dynamic characteristics of EHPS system. The better performance adaptive fuzzy PID control strategy was proposed, which was studied by simulating on the varied conditions. The simulation results show that the improved adaptive fuzzy PID controller has more satisfactory steering characteristics,and...
There are a lot of dead zone in many controlled systems. Different from other non-linear characteristics, dead zone has its special non-linear characteristics, which needs compensation measures in order to achieve the desired effect. By analysis of dead-zone non-linear characteristics, multi-joint robot models, and control simulation of two-joint robots, this paper is aimed to design fuzzy compensator...
This paper presents a self-tuning adaptive control structure designed through the minimization of a criteria function. It is described the computation methodology of the control law, being particularized for the case of a dual winding induction generator's excitation control. The parameter's estimator, integrated into the control system, is based on the online least mean square error algorithm. In...
Two-step filter is a filter that defines a set of new state parameters. These state parameters are nonlinear functions reflecting real-time states of system. Then, applying Kalman filter to acquire best estimate value, we can calculate best answer by Gauss-Newton alternate arithmetic. Not knowing real noise statistic values, we should combine variable noise statistic estimator with two-step filter...
In this paper, an identification method for dynamic hysteresis based on Duhem model is proposed. In this method, the functions involved in the Duhem model is approximated by polynomials based on the well-known Weierstrass theorem. Then, the general solutions to approximate the functions in the model are derived. The recursive least squares method is implemented to estimate the coefficients of the...
In this study, an adaptive network based type-2 fuzzy logic (ANT2FL) controller is designed for position control of an electro hydraulic servo system. MATLAB/SIMULINK toolbox is used for mathematical modelling of the system and controller design. As a first step, mathematical models of the servo valve, hydraulic cylinder, and hydraulic power unit which are main parts of the system are obtained. In...
We present in this paper a framework for performance prediction of parallel programs on hierarchical clusters. This framework is mainly designed for the use by the switching functions in parallel adaptive applications. Indeed, the principal referred objectives by this framework are the accuracy of the prediction and the rapidity of the prediction process. To achieve these objectives, our framework...
Since the Pneumatic Muscle Actuator (PMA) has the characteristic of strong nonlinear and time lags, it is difficult to establish a precise mathematical mode. Model-Free Adaptive Control (MFAC) is an advanced control algorithm that does not require building an off-line mathematical model. This paper is basing on the feature of the PMA and presents a model-free adaptive control algorithm with the nonlinear...
The performance comparison between two controllers, namely Adaptive Neuro-Controller (ANC), based on Multi Layered Perceptron (MLP) network and Adaptive Parametric Black Box Controller (APBBC) are presented in this paper. The comparison is based on the capability of the controlled output tracking the model reference output and the percentage of overshoot. Both controllers are based on a black box...
The conventional model of diesel engine-generator control system used for automatic power station control is crucially extended to include speed, frequency and load. An on-line speed regulator for diesel engine power station was developed based on model free adaptive (MFA) controller. The proposed speed control strategy in this work consists of a main speed loop and a feed forward load loop. The control...
In this paper, a simple and effective algorithm for direct torque and flux control three phase induction motor drive is proposed. In this method, control technique is based on decouple between amplitude and angle of reference stator flux for determining required stator voltage vector. This proposed method eliminates the estimation of stator flux angle to generate stator voltage vector with constant...
This panel seeks to initiate a discussion within the modeling and simulation community about the way we teach conceptual modeling for simulation with the view of bringing about improvements. The challenge addressed is how to educate and equip the novice analyst to become a professional rather than letting him become an artist - being very much the current practice. The need for professionalism is...
Aiming at the intelligibility reduced by composable model when original model substituted by metamodel, the analysis method of gray ratio for composable model is presented. The inherent black box essence of metamodel is analyzed, as well as the inherent gray box essence of composable model. The analysis method of gray ratio for composable model is presented, including the mapping relation between...
In mid-volume, mid-variety production cellular manufacturing systems have many advantages compared to systems using process layout. But their performance superiority is found to diminish when the demand becomes unstable. Adaptive cellular systems are designed, especially for dynamic demands. Here, the performance of an adaptive cellular system is compared to that of a system using process layout,...
Queuing research and its applications have been studied extensively by concentrating mainly on design, performance and running of the service facility under study. In this paper we show how a simple behavioral queuing system can be modeled using a Cellular Automata; and then we show how a Genetic Algorithm can be used to optimize the behavioral properties of this agent based model.
Conceptual modelling, one of the first stages in a simulation study, is about understanding the situation under study and deciding what and how to model. We argue that stakeholder involvement as part of conceptual modelling could lead to a more successful simulation study with better prospects for implementation. Our work is mainly applied in health care studies, which are characterized by many stakeholders...
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