Research ArticleFull-order Luenberger observer based on fuzzy-logic control for sensorless field-oriented control of a single-sided linear induction motor

- Elaborating the state-space model of the SLIM using simplifying assumptions.
- Extending the mathematical model of full-order Luenberger observer to SLIM.
- Obtaining the observer gain matrix based on conventional stability theory.
- Designing a proper adaptive scheme based on fuzzy-logic control (FLC) to estimate linear speed.
- Verifying proposed FLC full-order Luenberger observer using both numerical simulation and real-time hardware-in-the-loop (HIL) test.

This paper investigates sensorless indirect field oriented control (IFOC) of SLIM with full-order Luenberger observer. The dynamic equations of SLIM are first elaborated to draw full-order Luenberger observer with some simplifying assumption. The observer gain matrix is derived from conventional procedure so that observer poles are proportional to SLIM poles to ensure the stability of system for wide range of linear speed. The operation of observer is significantly impressed by adaptive scheme. A fuzzy logic control (FLC) is proposed as adaptive scheme to estimate linear speed using speed tuning signal. The parameters of FLC are tuned using an off-line method through chaotic optimization algorithm (COA). The performance of the proposed observer is verified by both numerical simulation and real-time hardware-in-the-loop (HIL) implementation. Moreover, a detailed comparative study among proposed and other speed observers is obtained under different operation conditions.