Data‐driven online temperature compensation for robust field‐oriented torque‐controlled induction machines. Issue 12 (27th September 2019)

• Record Type: Journal Article
• Authors: Phuc, Pieter Nguyen; Vansompel, Hendrik; Bozalakov, Dimitar; Stockman, Kurt; Crevecoeur, Guillaume
• Is Part Of: IET electric power applications. Volume 13:Issue 12(2019)
• Page Start: 1954
• Page End: 1963
• Publication Date: 2019-09-27
• Subjects: asynchronous machines -- compensation -- stators -- machine control -- machine vector control -- induction motors -- induction motor drives -- torque -- machine theory -- torque control -- squirrel cage motors -- rotors; power 5.5 kW -- 5.5 kW squirrel‐cage -- detrimental effect -- temperature‐torque lookup‐table -- robust torque‐controlled IMs -- temperature effect -- online data‐driven torque compensation -- motor torque -- angular rotor flux misalignment -- control algorithm -- rotor resistance parameter mismatch -- machine parameters -- temperature rises -- dynamic torque control -- accurate torque control -- indirect field‐oriented control -- squirrel‐cage induction machines -- robust field‐oriented torque‐controlled induction machines -- torque error -- torque setpoints -- nominal torque -- 17% torque mismatch -- data‐driven online temperature compensation method; Electric power -- Periodicals; Electric power systems -- Periodicals; 621.305
• DOI: 10.1049/iet-epa.2019.0309
• Languages: English
• ISSNs: 1751-8660

Abstract

Abstract : Squirrel‐cage induction machines (IMs) with indirect field‐oriented control are widely used in industry and are frequently chosen for their accurate and dynamic torque control. During operation, however, temperature rises leading to changes in machine parameters. The rotor resistance, in particular, alters, affecting the accuracy of the torque control. The authors investigated the effect of a rotor resistance parameter mismatch in the control algorithm on the angular rotor flux misalignment and the subsequent deviation of stator currents and motor torque from their setpoints. Hence, an online, data‐driven torque compensation to eliminate the temperature effect is proposed to enable robust torque‐controlled IMs. A model‐based analysis and experimental mapping of the temperature effect on motor torque is presented. A temperature‐torque lookup‐table is subsequently implemented within the control algorithm demonstrating the ability to reduce the detrimental effect of temperature on torque control. Experimental results on a 5.5 kW squirrel‐cage induction motor show that the proposed data‐driven online temperature compensation method is able to reduce torque mismatch when compared to having no temperature compensation. Up to 17% torque mismatch is reduced at nominal torque and even up to 23% at torque setpoints that are lower than 20% of the nominal torque. A limited torque error of <1% remains in a broad operating range.