Fuzzy logic controller for permanent magnet synchronous machines

Abstract

The fuzzy logic controller, FLC, it is part of the control with artificial intelligence (AI), and implies obtaining of improved signal wave forms at output and reduction of oscillations (such as output speed variation, torque variation, current variation for the three phases) comparatively with the classic control. This paper presents two cases of FLC for exterior permanent magnet synchronous machines, PMSM, (Ld=Lq), with 25 rules and with 49 rules. The FLC is developed to have less computational burden, which makes it suitable for real time implementation. The dynamic performances of permanent magnet synchronous machines opens new possibilities of large scale application of PMSM which has a high torque density, with low losses/torque ratio, high power factor and quick torque and speed response. For the real time implementation we have made reference to the digital signal processor controller board DS1104.I.

Investigation of Speed Control Performances of the Fuzzy Logic Controllers Having Different Membership Functions and Inference Methods

“…In the Larsen inference method, the membership grades coming from the fuzzification unit are associated with the output membership function using the algebraic product operator. Fuzzy relation operators used in Mamdani and Larsen inference methods are expressed in equations (13) and 14respectively [17].…”

“…Fuzzy logic that is one of these methods were used for controlling of PMSM by many researchers. Field oriented control of PMSM [4], controlling of PMSM under different operating conditions [5], speed control of PMSM [6][7][8], vector control of PMSM [9], direct torque control of PMSM [10][11], controlling PMSM with fuzzy logic controllers having different membership functions [12], controlling PMSM with fuzzy logic controllers having different rule sizes [13][14] are some of these studies. Membership functions and inference methods are important parts of the fuzzy logic controllers, directly affect the performance of the controller.…”

Speed control of permanent magnet synchronous motor by using fuzzy logic controllers having different inference methods

“…Bulanık mantık denetleyiciler, KMSM'nin kontrolünde birçok araştırmacı tarafından kullanılmıştır. KMSM'nin kalkış ve bozucu yük bölgelerindeki dinamik analizlerinin yapılması [4], alan yönlendirmeli kontrolü [5], farklı çalışma koşulları altındaki kontrolü [6], hız ve moment analizlerinin yapılması [7], vektörel kontrolünün yapılması [8], farklı yapıdaki üyelik fonksiyonlarına sahip bulanık mantık denetleyiciler ile kontrolü [9], farklı kural sayılarına sahip bulanık mantık denetleyiciler ile kontrolü [10] …”

Pure fuzzy Hall effect sensors for permanent magnet synchronous motor

“…Mechanical speed is the main feedback signal for us. The signal is generally used for motor controllers [9,10].…”