Intelligent Control in the Simulation of Manufacturing Systems
نویسندگان
چکیده
A particular characteristic of a manufacturing system concerns the complexity and the presence of uncertainties along with the difficulties in building analytical models that capture the system in all its important aspects. Hence, simulation remains one of the most widely used tools to fill this need. The objective of this article is related to the potential improvement of computer simulation as applied to the control of manufacturing system by introducing a two-level fuzzy-logic based control structure. On the lower level of the hierarchy, there is an adaptive fuzzy controller for each specific production module which is sythesized to regulate the flow of the material into a system, and in the upper level, a supervisor has the task of coordinating and tuning the local controllers by using the performance measurements characterizing the overall system’s current behavior to achieve better performance and restrict the system in admissible domain.
منابع مشابه
Determination of optimum of production rate of network failure prone manufacturing systems with perishable items using discrete event simulation and Taguchi design of experiment
This paper, considers Network Failure Manufacturing System (NFPMS) and production control policy of unreliable multi-machines, multi-products with perishable items. The production control policy is based on the Hedging Point Policy (HPP). The important point in the simulation of this system is assumed that the customers who receive perishable item are placed in priority queue of the customers w...
متن کاملLoss of Load Expectation Assessment in Deregulated Power Systems Using Monte Carlo Simulation and Intelligent Systems
Deregulation policy has caused some changes in the concepts of power systems reliability assessment and enhancement. In this paper, generation reliability is considered, and a method for its assessment using intelligent systems is proposed. Also, because of power market and generators’ forced outages stochastic behavior, Monte Carlo Simulation is used for reliability evaluation. Generation r...
متن کاملFrequency Control of an Islanded Microgrid based on Intelligent Control of Demand Response using Fuzzy Logic and Particle Swarm Optimization (PSO) Algorithm
Due to the increasing penetration of renewable energies in the power system, the frequency control problem has attracted more attention, while the traditional control methods are not capable of regulating the frequency and securing the stability of the system. In smart grids, demand response as the frequency control tool reduces the dependence on spinning reserve and high cost controllers. In a...
متن کاملModeling and Simulation of Traffic Lights on the High Contrast and Brightness Conditions and Structure Technology
Nowadays, the use of intelligent control systems to reduce human error is one of the most popularresearch fields. Design and implementation of such controllers requires to actual knowledge of theenvironment conditions. Traffic lights as one of the inputs of intelligent control systems are significant.usually the traffic lights have the various physical structure. also, generally in image proces...
متن کاملIntelligent Power Control of Green Building-Integrated of Fuel Cell and Plug-in Electric Vehicle in Smart Distribution Systems
The renewable energy sources and plug-in electric vehicles (PEVs) are becoming very popular because of the combination of high fuel costs and concerns about emission issues. This paper presents modelling and control of a Building Integrated Fuel Cell and Plug-in Electric Vehicles (BIFC-PEV) in smart distribution systems. In BIFC-PEV system, conventional building elements could be replaced by sp...
متن کاملFractional order robust adaptive intelligent controller design for fractional-order chaotic systems with unknown input delay, uncertainty and external disturbances
In this paper, a fractional-order robust adaptive intelligent controller (FRAIC) is designed for a class of chaotic fractional order systems with uncertainty, external disturbances and unknown time-varying input time delay. The time delay is considered both constant and time varying. Due to changes in the equilibrium point, adaptive control is used to update the system's momentary information a...
متن کامل