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High-order fully-actuated system approaches: Part IX. Generalised PID control and model reference tracking

Guang‐Ren Duan

2021International Journal of Systems Science117 citationsDOIOpen Access PDF

Abstract

Tracking control of general dynamical systems in high-order fully actuated (HOFA) system representation is solved. For the case of tracking a constant or slow time-varying signal in the presence of constant or slow time-varying disturbances, a generalised PID control scheme is proposed, which realises asymptotical tracking to a prescribed signal and also guarantees that the state derivatives of certain orders converge to the origin. For the case that the signal to be tracked is generated by a reference model, a model reference tracking (MRT) controller is presented, which relies on the solution to a type of generalised Sylvester matrix equations and guarantees the desired asymptotical tracking requirement. Due to the full-actuation property of the HOFA models, closed-loop systems under both control schemes are constant and linear. Furthermore, based on a general parametric solution to the type of Sylvester matrix equations and a general parametric eigenstructure assignment result, simple and complete parameterisation of the two types of control designs are provided, and feasibility conditions in terms of the system initial values for sub-fully actuated systems are also derived. An illustrative example is presented to demonstrate the application of the proposed approaches and their effects.

Topics & Concepts

Control theory (sociology)Constant (computer programming)PID controllerParametric statisticsTracking (education)MathematicsController (irrigation)Matrix (chemical analysis)Representation (politics)SIGNAL (programming language)Reference modelComputer scienceControl (management)Control engineeringEngineeringArtificial intelligenceStatisticsPolitical scienceAgronomyPedagogySoftware engineeringLawTemperature controlPsychologyComposite materialMaterials scienceProgramming languagePoliticsBiologyAdaptive Control of Nonlinear SystemsAdvanced Control Systems DesignIterative Learning Control Systems
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