Fuzzy Logic Based Position-Sensorless Speed Control of Multi Level Inverter Fed PMBLDC Drive

Abstract

<p class="MsoNormal" style="text-align: justify; margin: 10pt 0cm;"><span style="font-family: Times New Roman;"><span>This paper presents multi level inverter fed Permanent Magnet Brushless DC Motor (PMBLDCM) with a simplified voltage control technique.<span style="mso-spacerun: yes;"> </span>It is based on the “indirect position sensing,” which was justified by the observation that position sensing came indirectly from voltage and current waveforms<span style="mso-bidi-font-style: italic;">. The switching angle for the pulse is selected in such way to reduce the harmonic distortion.<span style="mso-spacerun: yes;"> </span>This drive system has advantages like reduced total harmonic distortion and higher torques.</span> PI, Fuzzy and Hybrid ( Fuzzy and PI) controllers are discussed.<span style="mso-bidi-font-style: italic;"> Closed loop simulation response is obtained for </span>PI, Fuzzy and Hybrid <span style="mso-bidi-font-style: italic;">controller with a disturbance in the input source.<span style="mso-spacerun: yes;"> </span>The conventional circuit is improved by introducing Hybrid Controller.</span><span style="color: black;"> In Industrial application t<span style="mso-bidi-font-style: italic;">he physical integration of Hybrid controller in the motor body itself is able to make them most suitable for low power (0.5hp) blowers and low power (50W) tube axial fans for cooling the electronic equipment.</span></span><span style="mso-bidi-font-style: italic;"> The performance of the PMBLDCM system is simulated and implemented. Simulation results of these systems are presented and the performance measures are compared. The simulation results with Hybrid controller indicate improved performance. </span><span style="color: black;">The experimental results are compared with simulation results. </span></span></span></p

A simple first order compensator for brushless direct current drive based position control system

“…The performance index tuning method ISE is found to be one of the effective methods for tuning a PID controller in motor control applications (Nasri et al, 2007;Narmadha and Thyagarajan, 2010;Reddy and Kalavathi, 2011;. Because it yields a lesser rise time, settling time and overshoot compared to other performance tuning methods such as IAE, ITAE, ITSE and MSE in such applications.…”

“…Conventional tuning methods such as Ziegler Nichols (ZN) tuning is found to introduce large overshoots and hence cannot be effectively employed to tune a PID controller in precise motor control applications such as machine tool cutting in industrial lathes and movement of robotic arms in industrial automation (even a small overshoot cannot be tolerated in such applications).Performance index methods such as integral absolute error (IAE), integral time absolute error (ITAE), integral square error (ISE), integral time square error (ITSE) and mean square error (MSE) can be effectively employed to tune the PID controller in such applications to reduce the overshoot. ISE is found to be one of the best performance indices to tune the PID controller in speed control of a DC motor (Nasri et al, 2007;Narmadha and Thyagarajan, 2010;Reddy and Kalavathi, 2011).…”

Speed Control of Switched Reluctance Motor Using New Hybrid Particle Swarm Optimization

“…Fuzzy Logic Controllers have been broadly used for imprecise, non-linear and complex systems (Narmadha and Thyagarajan, 2010). A simple FLC consists of four major elements: a fuzzifier, rule base, an fuzzy inference engine and a defuzzifier.…”