Abstract
Stability and reliability are the most important indicators of drive systems. In this article, a robust nonlinear control method is advanced for dual three-phase permanent-magnet synchronous machine (dual-PMSM) drives, based on the synergetic control theory. This control is implemented by a new synergetic controller (SGC) integrating with an extended sliding mode observer (ESMO), and an optimization method is applied to obtain the optimal parameters of the SGC. This control scheme not only improves the dynamic performance even with operating parameters change, but also can diagnose the speed sensor fault and realize the fault tolerant control (FTC). The proposed control method is compared with the PI control, the sliding mode control (SMC) and the predictive control, as well as the simulation and experimental results confirm the superior dynamic performance and the effectiveness on the speed sensor fault diagnosis (FD) and FTC.
Highlights
Permanent magnet synchronous machines (PMSMs) using in variable speed drives are acquired significant regard owing to their large power density
In [15], a higher order sliding mode observer based on a modified supertwist algorithm is used to the fault diagnosis (FD) and the fault tolerant control (FTC) for the sensor fault, which is a significant strategy for the FTC that the SMO is employed to reconstruct the faulty signals
In this article, a new optimized parameters-based synergetic controller (SGC) is designed for dual-PMSM driving systems
Summary
Permanent magnet synchronous machines (PMSMs) using in variable speed drives are acquired significant regard owing to their large power density. L. Xiao et al.: Robust Fault-Tolerant Synergetic Control for Dual Three-Phase PMSM Drives rotating speed of stator flux. FOC-based FTC method for the multiphase machine drive system correspond with one faulty phase are discussed in [23]– [27], and fault tolerance performances are effective. The effectiveness of advanced strategies for dual-PMSM corresponding with variable torque and speed is confirmed by simulation and experiments, as well as the comparison between the SGC and other types of controllers is presented in this senction. The first step of designing SGC is to define macro-variables based on characteristics of the system, and to search the control discipline according to the manifold convergence equation and the system state space model. Even when the system deviates from the equilibrium state, the control effect based on SGC is still better
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