A DISO NEURO-FUZZY CONTROL FOR DC SERVODRIVES
Journal Title: ANALELE UNIVERSITATII DIN CRAIOVA - Seria Inginerie electrica - Year 2011, Vol 35, Issue 35
Abstract
The paper follows a previous work that made the synthesis of a neuro-fuzzy controller with double input and single output for positioning systems with DC motors. Now, the new system is put into operation using models and simulations for proving its qualities. Briefly, several test will certify that this single neuro-fuzzy controller (for both the position and the speed) is able to ensure good or very good performance in steady-state and dynamic regimes for a wide variety of conditions concerning: the motor parameters, the load characteristics (torque, disturbances, inertia), the reference cycle (structure, values, duration) and the sampling time. The global results for both the control structures (standard – that generated the training data and fuzzy) are compared. The next stage is to prepare the tools for an on-line implementation. Several formulas will be suggested for the real-time control using 2D and 3D look-up-tables by direct search and by interpolation. The author sustains an on-line timing based on imbricated hardware / software interrupts, that will be implemented using a low-cost microcontroller. The experimental platform is presented as well as some real-time results for the main variables of the system and by recording the on-line timing with a logic analyzer. Most of the ideas, formulas and implementation procedures presented here are useful for other systems and applications.
Authors and Affiliations
Dan MIHAI
Keywords
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- EP ID EP86241
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