Proceedings of the Annual Conference of the IEEE Industrial Electronics Society · 2006 · 20 citations · 9 references
EngineeringComputer ScienceSystems EngineeringComputer NetworksDistributed SystemsOptimizationControl System DesignControl SystemsControl TheoryController DesignController TuningSimulation-based OptimizationDiscrete-time ControlNetworked Control SystemsNetworked Control With DelaysOptimization-based TuningPid Control DesignPid TuningRobust Controller TuningRobustness
As the use of computer networks grows rapidly, applications, such as networked control systems (NCS), have emerged. NCS suffer from varying time-delays that bring new problems to the control loop. This paper discusses tuning of a discrete-time PID controller for NCS. A discrete-time PID controller is selected as a controller, because it is widely used in industry. Minimising of a cost function is a powerful tool in control design. Here the optimisation technique is used to find the best parameters of a PID controller, when the system has time-varying or stochastic delays. The cost variance is used as a robustness measure of the tuning. Comparisons to the Ziegler-Nichols and IMC tuning methods are given in a case where the process and the controller are distributed over the Internet. The tunings done in simulations are further verified on a real process. Despite of the simplicity of the PID controller adequate performance is still achieved and it is shown that the optimisation tuning is robust in the presence of a varying time-delay
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Stability of networked control systems
Wei Zhang, Michael S. Branicky, S.M. Phillips · IEEE Control Systems · 2001 · 3.4K citations
Jitterbug and TrueTime: Analysis Tools for Real-Time Control Systems
Anton Cervin, Dan Henriksson, Bo Lincoln et al. · 2002 · 40 citations · Full text
Tohru Katayama, Tomas McKelvey, A. Sano et al. · Annual Reviews in Control · 2006 · 24 citations
Engineering, Electrical Engineering, Systems Engineering +10