Effective generalized predictive control of induction motor. (August 2020)

• Record Type: Journal Article
• Authors: Alkorta, Patxi; Cortajarena, José A.; Barambones, Oscar; Maseda, Francisco J.
• Is Part Of: ISA transactions. Volume 103(2020)
• Page Start: 295
• Page End: 305
• Publication Date: 2020-08
• Subjects: Generalized predictive control (GPC) -- Current and voltage constraints -- Induction motor -- Speed and rotor flux control -- Indirect vector control; Engineering instruments -- Periodicals; Engineering instruments; Periodicals; Electronic journals; 629.805
• DOI: 10.1016/j.isatra.2020.04.008
• Languages: English
• ISSNs: 0019-0578

Abstract

Abstract: In this document it is presented and experimentally validated a new linear predictive regulator to control the mechanical speed and the rotor flux of induction motor (IM). The regulator is developed in the synchronous reference frame and it provides a very good dynamic performance and guarantees fulfilment with the current constraints, to avoid over currents in stator windings. This predictive controller employs the minimum necessary dynamic model of the motor to get minor computational cost, in which the rotor flux and the load torque are estimated, and in spite of important parametric uncertainties, the performance is excellent. Moreover, the predictive regulator anticipates the response and compensates the mechanical dead time of the speed induction motor drive, getting better results than the classic speed PI control scheme. This control scheme incorporates the space vector pulse width modulation (SVPWM) with two proportional–integral​ (PI) current controllers, where the rest of dynamics of motor (stator) is controlled and voltage constraints are implemented, ensuring that the modulator always works in the linear area, to prevent distortion in the resulting stator currents. From the experimental tests that have been carried out, it can be concluded that the presented controller provides an effective and robust mechanical velocity and rotor flux tracking, from low to high speed range, with a high accuracy. Highlights: SVPWM provides a current with minimum ripple and maximum exploitation of VDC bus GPC offers dynamics, accuracy, robustness, current constraints and balances mechanical delay GPC with PI SVPWM adds voltage constraints, low THD and medium computational cost GPC-PI is an option to other predictive schemes as computational cost is reduced