Nonlinear flux observer-based feedback linearisation control of IM drives with ANN speed and flux controller

ABSTRACT

In this paper, ANN speed and flux controller for feedback linearisation control (FLC) IM drive with nonlinear flux observers are proposed to achieve an accurate and fast dynamic response over a wide operating range. Because of the nonlinearity in IM, a linear PI controller with direct field oriented control (DFOC) IM drive, gives the poor performance, longer convergence time and limited disturbance capability. Therefore, a nonlinear flux observer is developed for intelligent FLC using a modified LPF to reduce the dc offset, which minimises torque ripple, flux ripple and also reduces current THDs. Dynamic performances are simulated in MATLAB/Simulink environment and simulation results are validated experimentally. A relative comparative analysis is also carried out between classical field-oriented controlled induction motor drive and the proposed method. From the results obtained, it is observed that the proposed method is superior to FOC IM drive in terms of fast dynamic response, better speed tracking dynamics and reduction of, current THDs, torque and flux ripples.

KEYWORDS:

• Feedback linearisation control (FLC)
• field-Oriented Control (FOC)
• direct Torque Control (DTC)
• induction Motor (IM)
• artificial Neural Network (ANN)
• flux observer

Disclosure statement

No potential conflict of interest was reported by the authors.