Fast Finite-State Predictive Current Control of Electric Drives
Manuel R. Arahal, Federico Barrero, Manuel G. Satué, Mario Bermúdez
Abstract
This work presents a novel optimization method for the implementation of finite-state model-based predictive current controllers in electrical drives. The proposal avoids the usual exhaustive search to find the control action, reducing the computational burden. The method is based on physical considerations of the power converter voltage vectors and is easy to implement on digital signal processors. The proposal is applied to a five-phase induction machine. Experimental results are compared with those obtained by a standard model-based controller, showing the feasibility of the proposal and the improvements in terms of sampling time reduction and control accuracy.
Topics & Concepts
Model predictive controlComputer scienceControl theory (sociology)Reduction (mathematics)VoltageController (irrigation)Digital controlDigital signal processingControl engineeringSampling (signal processing)Power (physics)State (computer science)Three-phaseFinite-state machineDigital signal processorControl (management)Electronic engineeringAlgorithmEngineeringArtificial intelligenceDetectorMathematicsElectrical engineeringQuantum mechanicsBiologyComputer hardwarePhysicsAgronomyGeometryTelecommunicationsMultilevel Inverters and ConvertersMicrogrid Control and OptimizationAdvanced DC-DC Converters