Speed control of Five-Phase IPMSM through PI, SMC and FITSMC approaches under normal and open phase faulty conditions

This paper focuses on speed control of Five-Phase interior permanent magnet synchronous motor (IPMSM) through proportional-integral (PI) controller, sliding mode control (SMC) and novel fractional integral terminal sliding mode control (FITSMC) approaches under normal and open one-phase and two-phase faulty conditions. The SMC and FITSMC design processes have been deeply illustrated, while the stability of the aforementioned controllers has been guaranteed via Lyapunov theory. These ones are all designed based on rotor speed error which is generated from its measured and referenced values. Simulation results confirm the effectiveness and feasibility of the proposed control approaches in the fault tolerant control strategy and normal drive for Five-Phase IPMSM

Sensorless fault-tolerant control of five-phase IPMSMs via model reference adaptive systems

The present study deals with sensorless fault-tolerant control (SFTC) of five-phase Interior Permanent Magnet Synchronous Motors (IPMSMs). First, a Proportional-Integral Model Reference Adaptive System (PI-MRAS) speed estimator is proposed. The MRAS compares outputs of reference and adaptive models. Then, PI controller is utilized to generate the estimated speed by minimizing current errors between the two models. Second, a novel Sign Integral Terminal Sliding Mode Controller (SITSMC) is suggested in the presence of open phase faults. The proposed controller tolerates these faults through a transformation matrix tuning technique in view of equal current and minimum copper loss schemes. Meanwhile, SITSM controller utilizes the estimated speed of PI-MRAS block. Third, stability of the closed-loop system is provided by Lyapunov theorem. Finally, simulation results validate the feasibility and effectiveness of the suggested SFTC strategy both in normal and open one phase faulty conditions for a five-phase IPMSM

Nonlinear Observer Based Fault Diagnosis for an Innovative Intensified Heat-Exchanger/Reactor

International audienceThis paper describes an application of a fault detection and isolation (FDI)scheme for an intensified Heat-exchanger (HEX)/Reactor, where the exothermicchemical reaction of sodium thiosulfate oxidation by hydrogen peroxide is per-formed. To achieve this, precise estimation of all states of HEX/Reactor, includ-ing temperatures and concentrations of different reactants, as well as process faultdetection and isolation is completed by a high gain observer. Then, process faultidentification is achieved by several banks of interval filters. Finally, an intensifiedHEX/reactor is used to validate the effectiveness of the proposed strategy. Simulationresults are shown to illustrate the performance of the algorithm presente