Adaptive fuzzy logic control for high performance PM synchronous drives

For most applications, the load torque and parameters variations are important, requiring robust control methods to achieve a good regulation of the motor speed over all operating conditions. Fuzzy logic-based nonlinear control (FLC) is an attractive solution and deals with problems that have vagueness, uncertainty, or imprecision. It can be applied to control, diagnostic, modeling, and simulation of servo drives. In this paper, a fuzzy algorithm for speed control of permanent magnet synchronous motor (PMSM) drive is proposed. Therefore, the proposed FLC comprises a classical fuzzy controller with If-Then rules and is defined by gradually varying symmetrical triangular membership functions. An adaptive FLC is also described, and its performances have been investigated for the case of vector-controlled PMSM. A comparison between FLC and fixed gain PI controller is presented by simulation results, which verify appropriateness of the approach under various operating conditions and provides fast and robust control. This paper also presents a detailed comparison of hysteresis current controller for PMSM fed by two and three level voltage source inverters. The harmonic spectra for the proposed structures are obtained using a fast Fourier transform (FFT).