Abstract
This paper presents an interval type-2 fuzzy dynamic high type (IT2FDHT) control based on vector decoupling method for permanent magnet synchronous motor (PMSM) to improve the dynamic characteristics of the system. Firstly, to address the shortcomings of the traditional PI regulator used in the current loop of PMSM, an improved PI regulator based on voltage feed-forward decoupling is used. Then, considering the characteristics that the higher the system type, the smaller the steady-state error and the shorter the regulation time, the high type control structure is added. However, a purely high type structure amplifies the oscillations of the system and is extremely sensitive to perturbations, which can easily lead to system divergence. Therefore, in order to solve the problems caused by high type structure, finally we designed dynamic high type control with the help of fuzzy logic systems (FLSs), which successfully achieved automatic switching of system type while improving response speed and steady-state accuracy. Meanwhile, quantum-behaved particle swarm optimization (QPSO) algorithm is employed to determine the parameters of FLSs. In summary, five methods including conventional PI, feed-forward decoupling PI (FDPI), FDPI high type (FDPI-HT), FDPI type-1 fuzzy dynamic high type (FDPI-T1FDHT), and FDPI-IT2FDHT, are compared to show the superiority of the proposed method. By means of simulations, the excellence of proposed FDPI-IT2FDHT is verified.
Highlights
Faced with higher performance requirements and more load devices of permanent magnet synchronous motor (PMSM), forward decoupling PI (FDPI)-T1FDHT is hardly perfect for the job
The relevant parameters (k e, k ec, k u ) of the interval T2FLSs (IT2FLSs) are optimized by the quantum-behaved particle swarm optimization (QPSO) algorithm introduced earlier, while the same optimization process is adopted for the type-1 FLSs (T1FLSs) for the sake of the reasonableness of the comparison
fuzzy logic systems (FLSs) are introduced to improve performance across the board. It is clear from the enlarged diagram the methods with fuzzy dynamic high type structure (FDPI-T1FDHT and FDPI-interval type-2 fuzzy dynamic high type (IT2FDHT)) can enter the steady state faster whether under no load or with load
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Papadopoulos et al designed an explicit analytical PID tuning rule for Type III control loop design based on the symmetric optimality criterion [16] This static way of increasing the system type has the pitfall that the integral satiation may occur when there is a large or high frequency sudden change in the system input, which may prevent the actuator from working properly. We employed QPSO to determine optimal parameters of FLSs. In conclusion, in this article, based on feed-forward decoupling PI, an IT2FDHT control method using QPSO is proposed to improve dynamic performance of PMSM. Fuzzy dynamic high type methods are provided for the vector decoupling control of PMSM.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
