An Intelligent Controller Based on LAMDA for Speed Control of a Three-Phase Inductor Motor

Abstract

Three-phase induction motors are widely used in the industrial field due to their low cost and robustness; therefore, it is essential to continuously develop new proposals that improve their behavior and response in applications where speed control is required. This paper proposes the development of an intelligent controller programmed in a PLC and interconnected with a three-phase induction motor through a VFD. The novel intelligent controller bases its operation on the LAMDA algorithm, which acts as a decision-making system based on the state of the error with respect to the speed reference and its derivative, obtaining a closed-loop controller. In addition, the VFD receives commands from the PLC to operate the motor at a constant voltage-frequency ratio in which flux remains constant. The proposed controller has been validated in two study cases: i) reference changes and ii) rejection of disturbances. The results obtained are promising and show a good performance of the LAMDA controller when compared qualitatively and quantitatively with the controller most commonly used in industrial systems, such as PID, and controllers with similar characteristics, such as fuzzy, based on Mamdani and Takagi-Sugeno inference. Doi: 10.28991/ESJ-2023-07-03-01 Full Text: PDF

A Novel Sensor Integration Scheme for an Aided Inertial Navigation System Based on a Generalized PID Filter in the Presence of Observation Uncertainty

“…The performance of an aided navigation system is directly affected by optimal state estimation techniques used in the integration or sensor fusion scheme. Kalman Filter (KF) is the most widely used optimal state estimator in many theorical and industrial applications including integrated navigation systems (6)(7)(8)(9)(10)(11). To achieve an optimal solution in the KF, determining proper models for the system and stochastic noises is a key factor problem (12).…”

Enhancing Wind Power Conversion System Control Under Wind Constraints Using Single Hidden Layer Neural Network

“…Dauksha and Iwanski (20) an indirect torque control algorithm for a CDFIG that allows it to work with an unbalanced power grid using different strategies. The development of an intelligent LAMDAbased controller for three-phase induction motors has shown improved precision and disturbance response by Morales et al (21). Additionally, studies on the behavior of wind turbine blades in different turbulence levels have underscored the necessity for durable designs in renewable energy technologies (22).…”

A new Online Hall Effect Sensor Fault Detection and Location in Brushless DC Motor Based on Normalized Phases Currents Analysis

“…High efficiency, high torque density, low-level noise, and wide speed control range are the main benefits of BLDC motors related to the induction motors. Therefore, BLDC motors can be one of the best options for many applications, such as robots, electric bicycles, and computer equipment [1][2][3]. But torque ripple [3,4] and dependency on the rotor position are the main drawbacks of the BLDC motors.…”