The Yale spatial juggler and an emerging set of working principles for the design and implementation of embedded real-timedistributedcontrollers are described. The robot uses a distributed network of transputers to ...
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The Yale spatial juggler and an emerging set of working principles for the design and implementation of embedded real-timedistributedcontrollers are described. The robot uses a distributed network of transputers to process stereo camera data and control the torque of a three-degree-of-freedom arm to juggle a ball. The juggling algorithm is a direct extension of a novel class of nonlinear feedback controllers, called mirror laws. The algorithm takes the form of a mathematical expression that specifies robot position as a function of the ball's position and velocity. The programming approach, called geometric programming, substitutes event-driven dynamical processes and geometrical transformations for a more syntactically oriented if-then-else approach
The main goal of this work is the design of a real-time scheduler for controlling flexible production cells using an extension of Petri nets. The approach comprises a modularisation of a Petri-net, which models the di...
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The main goal of this work is the design of a real-time scheduler for controlling flexible production cells using an extension of Petri nets. The approach comprises a modularisation of a Petri-net, which models the different resources of the cell under study. This leads to the design of a distributed discrete-event control system, which is built up of three main structures, the coordination system, and the local and complex controllers for solving conflicts. The dynamics of the proposed control system is operated by means of an application protocol, which allows for coordination and synchronisation between both controllers, The validation of this approach is shown on an example application.
In this paper, we investigate the problem of minimizing the long-term total cost (i.e., the sum of energy cost and thermal discomfort cost) associated with a heating, ventilation, and air conditioning (HVAC) system of...
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In this paper, we investigate the problem of minimizing the long-term total cost (i.e., the sum of energy cost and thermal discomfort cost) associated with a heating, ventilation, and air conditioning (HVAC) system of a multizone commercial building under smart grid environment. To be specific, we first formulate a stochastic program to minimize the time average expected total cost with the consideration of uncertainties in electricity price, outdoor temperature, the most comfortable temperature level, and external thermal disturbance. Due to the existence of temporally and spatially coupled constraints as well as unknown information about the future system parameters, it is very challenging to solve the formulated problem. To this end, we propose a real-time HVAC control algorithm based on the framework of Lyapunov optimization techniques without the need to predict any system parameters and know their stochastic information. The key idea of the proposed algorithm is to construct and stabilize virtual queues associated with indoor temperatures of all zones. Moreover, we provide a distributed implementation of the proposed real-time algorithm with the aim of protecting user privacy and enhancing algorithmic scalability. Extensive simulation results based on real-world traces show that the proposed algorithm could reduce energy cost effectively with small sacrifice in thermal comfort.
The domain of industrial automation increasingly requires intelligent control, distributedreal-time behaviors, and greater degrees of scalability. This has led to the creation of a new realtime, distributed, object-o...
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The domain of industrial automation increasingly requires intelligent control, distributedreal-time behaviors, and greater degrees of scalability. This has led to the creation of a new realtime, distributed, object-oriented virtual machine focused on the management of hybrid dynamic (i.e., continuous and discrete event) systems. This paper provides an outline of the virtual machine's programming model and some of its implications on the underlying execution environment.
The CAN (controller area network) is a serial communication protocol for distributed real-time control and automation systems. Data generated from field devices in manufacturing automation and process control systems ...
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The CAN (controller area network) is a serial communication protocol for distributed real-time control and automation systems. Data generated from field devices in manufacturing automation and process control systems are classified into three categories: real-time event data, real-timecontrol data and non-real-time data. These data share a common CAN medium. Unless the traffic of the CAN protocol is efficiently controlled, performance of the real-time application systems interconnected into the CAN bus can be degraded. The paper proposes a bandwidth allocation algorithm that can be applicable to the CAN protocol. The bandwidth allocation algorithm not only satisfies the performance requirement of real-time application systems interconnected into the CAN but also fully utilises the bandwidth of the CAN. The bandwidth allocation algorithm introduced in the paper is validated using a simulation experiment.
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