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This paper presents the holonic shopfloor control system (HSCS), a flexible manufacturing system (FMS) control software designed and prototyped based on the holonic philosophy. Holonic manufacturing system (HMS) advocates a dynamic control structure composed of standardized, autonomous and cooperative agents called holons. These holons group themselves into dynamic hierarchical structure called holarchies so that manufacturing activities carried out on the shopfloor such as operation scheduling and execution can be integrated in a highly decentralized and cooperative manner. HSCS consists of several modules supporting modeling, product and resource specifications, simulation and control activities within the holonic framework. Object-oriented programming provides a suitable environment to implement the distributed control software. The underlying architecture of HSCS also suggests directions for the design and implementation of future FMS control system.

This paper proposes a position tracking control approach of AGV's platform using neural network The control problem of AGV's active suspension is first analysed. Then a neural network control scheme for controlling active suspension is presented. The controller adopts a multilayer back-propagation neural network To obtain the fastest possible speed of convergence and to meet the need of real-time control, a prediction-correction method for adjusting learning parameters is developed. Finally, various manoeuvres of the AGV are simulated to evaluate the performance of the controller. The simulation results indicate that the neural network control scheme is feasible. The neuro-controller can accommodate the variation of operational conditions and environment.