Abstract:This paper proposes an auto-tuned constrained state-feedback controller (SFC) to attenuate periodic disturbances present in permanent magnet synchronous (PMSM) motor drives. An online auto-tuning process of SFC has been made using a powerful nature-inspired optimization algorithm—artificial bee colony (ABC)—to achieve high-performance operation of the drive. A novel performance index is proposed to minimize the impact of pulsating torque and obtain smooth-velocity of the drive. The proposed approach is a pract… Show more
“…Therefore, a simplified LQR algorithm which minimizes the performance index is presented in Fig. 3 which evaluates the SFC gain K with high accuracy that is in conformity with [ 36 ]. Fig.…”
“…Therefore, a simplified LQR algorithm which minimizes the performance index is presented in Fig. 3 which evaluates the SFC gain K with high accuracy that is in conformity with [ 36 ]. Fig.…”
“…As for the rotor pole structure, the PMSM can be classified as a surface-mounted PMSM (SPMSM) [12,13] and an interior PMSM (IPMSM); the latter one provides higher per-unit inductances and thus field-weakening capability [14]. The rotor magnetic-pole topology of the IPMSM can be taken as the optimal design method, and the currently known topology types are the "conventional type", "U-type", "V-type", etc.…”
The torque performance of the interior permanent-magnet synchronous motor (IPMSM) must be further improved to satisfy the growing demand of aircraft drive application. To this end, this article focuses on the design optimization of the IPMSM structure in the aircraft drive systems to improve the torque density and reduce the torque ripple. A special fractional-slot winding and ∇-type magnetic-pole rotor topology are proposed as the optimized IPMSM structure compared with the structure of an existing motor. The simulations of the original and optimized structures at different current values reveal the variance of the torque in the average and ripple, mechanical and external characteristics, efficiency and steady-state temperature. The performance of an optimized prototype is analyzed by experimental testing, and the results show that an optimized motor has a higher torque density and lower torque ripple than the original one at the same speed and rated power, but it also has a higher temperature rise. However, the temperature rise value is acceptable in the experimental testing condition, so the validity of the design optimization method for the proposed structure is verified.
“…The permanent-magnet synchronous motor (PMSM) is widely used in civil, military, and aerospace applications because of its high efficiency, simple structure, and reliable operation [1][2][3][4]. Although the PMSM has these advantages, it is a multivariable, strongly coupled, nonlinear control system, which tends to have a large torque ripple and requires certain control algorithms to obtain better control performance [5,6].…”
Direct torque control (DTC) is widely used in a permanent-magnet synchronous motor (PMSM), but it has its own shortcomings caused by high torque ripple. Deadbeat-direct torque and flux control (DB-DTFC) is a new torque and flux method compared with DTC. However, the traditional DB-DTFC is often based on rotor-flux-oriented control. The reference voltage of the stator is computed in a rotor-flux-oriented coordinate system, and the solution involves solving quadratic equations, which will increase the burden of computational processing. To improve the computation of the reference voltages and the control performance, this paper proposes a new DB-DTFC algorithm and introduces its basic principles. First, the proposed DB-DTFC algorithm uses the forward Euler equation to solve the reference voltage in a stator-flux-oriented coordinate system. Second, the discrete mathematical model is used to predict the next control current to achieve deadbeat control. Third, the structural model of the proposed DB-DTFC is constructed. Finally, the simulation model of the proposed DB-DTFC algorithm is built with a MATLAB/Simulink platform. The simulation results prove that the proposed DB-DTFC algorithm can achieve better control performance in torque and flux control compared with the DTC algorithm and SVM-based direct torque and flux control (SVM-DTFC) algorithm. In particular, the torque index of DB-DTFC is reduced about 6% in a limited speed range in comparison with the DTC algorithm.
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