Root Locus-Based Magnetic Levitation System Stabilization: An Undergraduate Control System Design Approach

The subject of control system design has evolved considerably over the years. Although several design techniques and strategies have been adopted to realize control systems that meet a predetermined set of performance criteria, the fundamental problem remains that of developing controllers to adjust the performance characteristics of a dynamic system in order to obtain a desired output behavior. The dynamic behavior of a magnetic levitation system (MLS) of a ferromagnetic ball is compensated in this paper. Consolidating the exposure of undergraduate students to the rudiments of control system design, the paper employs the classical root locus technique to stabilize the system. A combination of analytical and software-based methods is used to design proportional-derivative and phase-lead compensators based on the linearized model of the system. Complete details of the design approach, from modeling and analysis of the plant to computing the values of the controller parameters, are shown. MATLAB scripts for plotting root loci and simulating the system are provided

Induction motor controller using fuzzy logic

Induction Motor is widely used in general industry applications focusing on production area. Induction motor speed control is becoming very important due to increase the profit to the industries with increase efficiency, reliability and performance of induction motor. Due to the problem facing in induction motor that require complex mathematical model and varying parameters, Fuzzy Logic Controller (FLC) is applied to overcome this problem. The FLC based on the concepts of an artificial intelligence and attractive alternatives method to tackle the problem of controller design for complex mathematical model of system. This project used FLC Sugeno types. The purpose used FLC is to control speed and increase the efficiency of IM. While, the conventional controller only works well for linear system and their performances will decrease for nonlinear system. To make an induction motor operates such as Direct Current (DC) motor, Field Oriented Control (FOC) drives is applied for Induction Motor drive. FOC also offering a fast dynamic response and a high precision ability for IM drive. This project is implemented using Simulink Matlab. Based on the test results show the response of the speed curve takes less time to settle and reach the desired value