Optimal Feedback Linearization Control of Interior PM Synchronous Motors Subject to Time-Varying Operation Conditions Minimizing Power Loss

• Published in: IEEE transactions on industrial electronics (1982) Vol. 65; no. 7; pp. 5414 - 5421
• Main Author: Aghili, Farhad
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.07.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Control systems; Control theory; Copper loss; Electric motors; Electric vehicles; Energy conservation; Feedback linearization; Feedback linearization control (FLC); interior permanent magnet synchronous motor; Isomorphism; Mapping; Mathematical model; motor control; Optimal control; Optimization; Permanent magnet motors; permanent magnet synchronous motor (PMSM); Permanent magnets; Power consumption; Power loss; Robotics; Synchronous machines; Synchronous motors; Torque; Tracking; Voltage control
• ISSN: 0278-0046; 1557-9948
• DOI: 10.1109/TIE.2017.2784348

This paper presents development of an optimal feedback linearization control for interior permanent magnet synchronous machines operating in a nonsteady-state operating point, i.e., varying torque and speed, to achieve precision tracking performance and energy saving by minimizing the copper loss. An isomorphism mapping between the dq axes phase voltages and two auxiliary control inputs over full ranges of torque and speed is established by the linearization controller using the notion of orthogonal projection. The auxiliary control inputs are defined to be exclusively responsible for torque generation and power consumption. Subsequently, an analytical solution for the optimal-linearization control is derived in a closed form by applying the Hamiltonian of optimal control theory in conjunction with the Pontryagin's minimum principle. The optimal controller takes the maximum voltage limit and torque tracking constraint into account while maximizing machine efficiency for nonconstant operational load torque and speed. Unlike the convectional quadratic regulator-based control of electric motors, the proposed control approach does not rely on steady-state operation conditions and hence, it is suitable for such applications as electric vehicles and robotics. Experimental results demonstrate torque-tracking and energy-efficiency performance of a motor operating with nonconstant torque.