Open AccessRotor autocentering and speed control of hybrid bearingless SRM using single-neuron adaptive PID controller
Author(s) -
Polamraju V.S. Sobhan,
G. V. Nagesh Kumar,
P.V.R.R. Bhogendra Rao
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i1.8.9982
Subject(s) - control theory (sociology) , pid controller , rotor (electric) , suspension (topology) , controller (irrigation) , torque , switched reluctance motor , electronic speed control , computer science , nonlinear system , control engineering , engineering , physics , control (management) , mathematics , temperature control , artificial intelligence , mechanical engineering , agronomy , electrical engineering , quantum mechanics , homotopy , pure mathematics , biology , thermodynamics
The bearingless switched reluctance motor (BLSRM) is emerging as an attractive option for modern industrial applications because of the features, such as compact size, lubrication and seal free performance, long lifeand ability to rotate at very high speed and high power. The control approach is extremely fundamental to a steady operation because of itshighly nonlinear, multi variable and open loop unstable nature. This paper presents a single neuron based rotor suspension control of a 12/14 Hybrid Pole BLSRM with autonomous rotation and suspension poles. This hybrid pole structure produces the suspension force linearly with respect to rotor position and independent of the torque characteristics. Implementation of a non model based Single neuron adaptive PID Controller by avoiding the modeling complexity is proposed. Experimental results demonstrate that the proposed controller maintains the rotor in the center position as well as the speed tracking and disturbance elimination performances independently.