Litcius/Paper detail

μ-Synthesis FO-PID for Twin Rotor Aerodynamic System

Vlad Mihaly, Mircea Şuşcă, Eva H. Dulf

2021Mathematics19 citationsDOIOpen Access PDF

Abstract

μ-synthesis is a NP-hard optimization problem based on the generalized Robust Control framework which manages to find a controller which fulfills both robust stability and robust performance. In order to solve such problems, nonsmooth optimization techniques are employed to find nearly-optimal parameters values. However, the free parameters available for tuning must be involved only in classical arithmetic operations, which leads to a problem for the fractional-order operator or for its integer-order approximation, exponential operations being involved. The main goal of the current article consists of presenting a possibility to integrate a fixed-structure multiple-input-multiple-output (MIMO) fractional-order proportional-integral-derivative (FO-PID) controller in the μ-synthesis optimization problem. The solution consists in a possibility to find a set of tunable parameters isomorphic with the fractional-order such that the coefficients involved in the approximation of the fractional element, along with the formulation of a fixed-structure mixed-sensitivity loop shaping μ-synthesis control problem. The proposed design procedure is applied to a twin rotor aerodynamic system (TRAS) using both MATLAB numerical simulation and practical experiments on laboratory scale equipment. Moreover, a comparison with the unstructured μ-synthesis is performed, highlighting the advantages of the proposed solution: simpler form and guaranteed robust stability and performance.

Topics & Concepts

PID controllerControl theory (sociology)Fractional calculusAerodynamicsMATLABController (irrigation)Stability (learning theory)Mathematical optimizationRotor (electric)Optimization problemMathematicsInteger (computer science)Operator (biology)Computer scienceApplied mathematicsControl engineeringControl (management)EngineeringTemperature controlBiochemistryAgronomyProgramming languageTranscription factorAerospace engineeringRepressorMechanical engineeringBiologyChemistryArtificial intelligenceMachine learningGeneOperating systemAdvanced Control Systems DesignAdvanced Control Systems OptimizationStability and Control of Uncertain Systems