Abstract
This paper presents a nonlinear cascaded control design that has been developed to (1) improve the self-sensing speed control performance of an interior permanent magnet synchronous motor (IPMSM) drive by reducing its speed and torque ripples and its phase current harmonic distortion and (2) attain the maximum torque while utilizing the minimum drive current. The nonlinear cascaded control system consists of two nonlinear controls for the speed and current control loop. A fuzzy logic controller (FLC) is employed for the outer speed control loop to regulate the rotor shaft speed. Model predictive current control (MPCC) is utilized for the inner current control loop to regulate the drive phase currents. The nonlinear equation for the dq reference current is derived to implement the maximum torque per armature (MTPA) control to achieve the maximum torque while using the minimum current values. The model reference adaptive system (MRAS) was employed for the speed self-sensing mechanism. The self-sensing speed control performance of the IPMSM motor drive was compared with that of the traditional cascaded control schemes. The stability of the sensorless mechanism was studied using the pole placement method. The proposed nonlinear cascaded control was verified based on the simulation results. The robustness of the control design was ensured under various loads and in a wide speed range. The dynamic performance of the motor drive is improved while circumventing the need to tune the proportional-integral (PI) controller. The self-sensing speed control performance of the IPMSM drive was enhanced significantly by the designed cascaded control model.
Highlights
Interior permanent magnet synchronous motor (IPMSM) drives are gaining significant attention as variable speed drives in industrial applications
The motor drive dynamic performance, torque ripples, and current harmonics are significant issues that occur during transient and load variations
A control structure based on the fuzzy logic controller (FLC) and Finite set current predictive control (FSCPC) with an model reference adaptive system (MRAS)-based speed estimator is proposed
Summary
Interior permanent magnet synchronous motor (IPMSM) drives are gaining significant attention as variable speed drives in industrial applications. This is because IPMSMs display high efficiency, high power density, low volume, and fast dynamics, and incur low maintenance cost. Various control techniques are utilized for achieving high control performance (such as cascaded linear control based on vector control and direct torque control) under varying model parameters and external disturbances [2]. The nonlinear model of an IPMSM PI controller is sensitive to load disturbance or parametric variations. These issues affect the control design of IPMSM drives for high performance applications [3,4,5]
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