Abstract
The use of Fuzzy Logic Controller (FLC) as a speed controller for Induction Motor (IM) drives is garnering strong researchers’ interest since it has proven to achieve superior performance compared to conventional controllers. The aim of this study is to review and investigate the design, operations, and effects of rules reduction for FLC in IM drives. Based on the literature, the most commonly used technique to design FLC Membership Functions (MFs) rule-base and control model is based on engineering skills and experienced behavioral aspects of the controlled system. Simplified fuzzy rules approaches have been introduced to reduce the number of fuzzy rules in order to realize hardware implementation. This study discusses different simplified rules methods applied to IM drives. Most of the proposed methods shared a common drawback in that they lacked systematic procedures for designing FLC rule base. Therefore, this research proposed a methodological approach to designing and simplifying the FLC rule-base for IM drives based on dynamic step response and phase plane trajectory of the second order representation of IM drives systems. The proposed method presents guidance for designing FLC rule-base based on the general dynamic step response of the controlled system. Following the proposed method procedures, a (9, 25, 49) rules size has been designed and simplified to a (5, 7, 9) rules size. The effectiveness and accuracy of the designed rules as well as the simplified rules were verified by conducting simulation analysis of IM drives using MATLAB/Simulink environment. Step speed command performance comparisons were achieved with both standard designed and simplified rules at various speed demands. The simulation results showed that the simplified rules maintain the drive performance and produced similar behavior as the standard designed rules.
Highlights
High performance Induction Motor (IM) drives require a fast dynamic response, parameter variation robustness, disturbance rejection capabilities, and simple software and hardware implementation [1], [3]
The paper is organized as follows: Section II discusses the history of Fuzzy Logic Controller (FLC) and its potential applications, –Section III investigates IM drive systems, Section IV discusses FLC design and simplification methods, Section V discusses proposed FLC design and simplification techniques, Section VI presents a simulation analysis based on the proposed FLC rule-base, and Section VII summarizes the study and highlights the findings and outcomes of the study
This paper proposes a systemic method to design FLC rule-base based on the general step response of the controlled system
Summary
High performance Induction Motor (IM) drives require a fast dynamic response, parameter variation robustness, disturbance rejection capabilities, and simple software and hardware implementation [1], [3]. Tarbosh et al.: Review and Investigation of Simplified Rules Fuzzy Logic Speed Controller of High Performance IM Drives variation, non-linearity handling, load disturbance rejection capabilities, and robustness to speed variation. FLC model [30], includes a new FLC model designed with a mix of trapezoidal and triangular MFs for inputs, and output fuzzy variables due to their ease of mathematical representation This simplifies the implementation of the FLC interface engine and reduces the computational burden of the system in order to realize real-time implementation. Another approach simplifies FLC input–s and output–s MFs, which as a result, reduce the number of fuzzy rules [31], [32]. The paper is organized as follows: Section II discusses the history of FLC and its potential applications, –Section III investigates IM drive systems, Section IV discusses FLC design and simplification methods, Section V discusses proposed FLC design and simplification techniques, Section VI presents a simulation analysis based on the proposed FLC rule-base, and Section VII summarizes the study and highlights the findings and outcomes of the study
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