Publication

A Flexible Transmission System as a Benchmark for Robust Digital Control*

1995
Journal Articles

Abstract

A benchmark problem for digital robust control design is described. The robustness in stability and in performance of eight solutions to this benchmark which have been presented at the 1995 European Control Conference in Rome (Italy) are evaluated. The eight controllers have been designed using several different methods, including discrete time H∞ optimisation, quantitative feedback theory, non-integer order control, generalised predictive control, combined pole placement/sensitivity function shaping and model free optimisation. Simulations and-experimental results are given.

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1995
Journal Articles

Abstract

Official source

Related concepts (23)

Control system

A control system manages, commands, directs, or regulates the behavior of other devices or systems using control loops. It can range from a single home heating controller using a thermostat controlling a domestic boiler to large industrial control systems which are used for controlling processes or machines. The control systems are designed via control engineering process. For continuously modulated control, a feedback controller is used to automatically control a process or operation.

Model predictive control

Model predictive control (MPC) is an advanced method of process control that is used to control a process while satisfying a set of constraints. It has been in use in the process industries in chemical plants and oil refineries since the 1980s. In recent years it has also been used in power system balancing models and in power electronics. Model predictive controllers rely on dynamic models of the process, most often linear empirical models obtained by system identification.

Control theory

Control theory is a field of control engineering and applied mathematics that deals with the control of dynamical systems in engineered processes and machines. The objective is to develop a model or algorithm governing the application of system inputs to drive the system to a desired state, while minimizing any delay, overshoot, or steady-state error and ensuring a level of control stability; often with the aim to achieve a degree of optimality. To do this, a controller with the requisite corrective behavior is required.

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A Flexible Transmission System as a Benchmark for Robust Digital Control*

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