On the implementation of linear position control using fuzzy logic approach

This paper investigated a significant application of fuzzy set theory and fuzzy logic. The proposed work aimed to simulate Fuzzy Logic Controller (FLC) for linear position control. With this objective, an initiative is taken to design and simulate a Fuzzy Inference System (FIS) to control linear position in a computer-assisted environment. In this paper, the implementation of a Mamdani Fuzzy Inference System has been demonstrated with the application of controlling linear displacement. The design and simulation of conventional fuzzy logic controller (FLC) for a single input single output (SISO) system, is carried out. The system consists of a fuzzy logic controller that analyzes probable control situation based on the error distance and its error derivative. The controller determines the sufficient linear motion required to obtain the desired set-position while providing a smooth motion for the slider. The robustness of the proposed control scheme is verified by numerical simulation. The proposed scheme has better performance than the conventional method due to parameter variation and extraneous disturbance. To demonstrate its performance, the proposed control algorithm is applied to a real time position control system.