Abstract
A novel approach for optimized observer feedback gains of a stable sensorless induction motor (IM) drives at very low speeds in the regenerating mode is presented. The proposed approach depends on the rough set (RS) and genetic algorithm (GA) in a cascading construction. The RS is used to obtain the most dominant machine parameters that affect the stability of the sensorless IM drive at very low speeds in the regenerating mode. The parameter's values are randomly selected to investigate their influence on the stability. Then, a reduction is obtained for the most dominant machine parameters affecting the stability. GA is applied to search for the optimal design of the observer feedback gains under the dominant parameter deviation. The proposed RS theory and GA guarantees a stable speed estimate and efficient sensorless IM drive at very low speeds in the regenerating mode. Theoretical analysis, design procedure, and simulation work of the proposed approach are presented. A sensorless IM drive is executed in the laboratory using the digital signal processor (DSP)-DS1104 control board. Extensive results in the different operating conditions to verify the efficacy of the proposed approach are presented and compared with previous works.
Highlights
Sensorless control of an induction motor (IM) has become very important in the field of electric drive applications
This paper proposes a new approach using the rough set (RS) theory to deal with the issue of simultaneous changes of machine parameters
This paper presents an offline analysis to remedy this issue using a genetic algorithm (GA) to optimize the observer feedback gains under parameter deviations to guarantee a stable speed estimator
Summary
Sensorless control of an induction motor (IM) has become very important in the field of electric drive applications. The literature review stated that the effect of machine parameters is a big challenge of the stability and performance of the sensorless IM drive in the low-speed region, in the regenerating mode [34]. Some of these parameters are predefined and kept constant during the operation of the IM drive. The RS theory is applied to obtain the most dominant machine parameters affecting the stability of the sensorless IM drive at very low speeds in the regenerating mode.
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