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Go to Editorial ManagerThree-phase induction motors (IM) are widely utilized in various applications such as fans, milling machines, conveyor systems, robotics, pumps, and heavy machinery. Tasks that require precise speed control often demand additional control systems to ensure efficient and accurate operation. Unfortunately, the speed control of induction motors is a difficult problem due to system nonlinearity, parameter variations, and external disturbances. Therefore, standard proportional-integral-differential (PID) control systems are among the various techniques available for motor speed regulation. In this paper, the PID controller is used as a criteria to assess the efficacy of the proposed approach. This work specifically addresses the use of a toolbox controller for active disturbance rejection control (ADRC) to control the speed of a three-phase IM. The ADRC toolbox is a software tool (often a MATLAB/Simulink toolbox or library) designed to help users implement ADRC methods in their systems without having to code the algorithms from scratch. The speed performance of the motor was compared between PID and ADRC controllers. The evaluation was performed under steady state operation, with the intention of establishing and maintaining the speed of 1400 rpm. By simulation, the performance of the controllers in respect of rise time, settling time and the current consumption in all the simulations was analyzed conducted through MATLAB/Simulink. Simulation data indicate that the ADRC system outperforms conventional PID controllers when used with induction motors. Performance indicators such as ITAE (14.3 vs. 19.7), ISE (234.01 vs. 251.13), and RMSE (644.21 vs. 660.62) demonstrate that the ADRC system provides higher accuracy, faster response, and more efficient speed regulation control compared to the PID system. The results reveal that ADRC has better performance, especially in disturbance suppression. starting current, which contributes to extending the motor’s operational lifespan. Additionally, ADRC ensures smooth acceleration of rotor speed with a lower rise time of 0.3s as well as settling time of 0.36s, allowing the system to reach steady-state speed more efficiently. ADRC is more adaptive to nonlinear and unpredictable settings than PID since it actively compensates for total disturbances and estimates them.
This research is devoted to design and implement a Supervisory Control and Data Acquisition system (SCADA) for monitoring and controlling the corrosion of a carbon steel pipe buried in soil. A smart technique equipped with a microcontroller, a collection of sensors and a communication system was applied to monitor and control the operation of an ICCP process for a carbon steel pipe. The integration of the built hardware, LabVIEW graphical programming and PC interface produces an effective SCADA system for two types of control namely: a Proportional Integral Derivative (PID) that supports a closed loop, and a traditional open loop control. Through this work, under environmental temperature of 30°C, an evaluation and comparison were done for two types of controls tested at low soil moisture (48%) and high soil moisture (80 %) to study the value of current, anode voltage, pipe to soil potential (PSP) and consumed power. The results show an decrease of 59.1% in consumed power when the moisture changes from the low to high level. It was reached that the closed loop controller PID is the best solution in terms of efficiency, reliability, fast response and power consumption.