Conventional and Non-Conventional Control Systems Embedded in Programmable Logic Controllers
Restricted (Penn State Only)
- Author:
- Jaswal, Anshul
- Graduate Program:
- Mechanical Engineering (MS)
- Degree:
- Master of Science
- Document Type:
- Master Thesis
- Date of Defense:
- March 15, 2024
- Committee Members:
- Ma'Moun Abdel Abu-Ayyad, Thesis Advisor/Co-Advisor
Amit Banerjee, Committee Member
Rick Ciocci, Professor in Charge/Director of Graduate Studies
Anilchandra Attaluri, Committee Member - Keywords:
- PID
MPC
PLC
Stepper motor
Industrial automation
Position control - Abstract:
- Model Predictive Control (MPC) has found extensive application in diverse industrial plants, particularly those characterized by slower processes. The use of MPC in faster processes is typically constrained by the need for faster optimization algorithms or digital processors. In this project, conventional and non-conventional control strategy is integrated with a Phoenix Contact Programmable Logic Controller (PLC) for the precise position control of a stepper motor. Special function modules were used to generate the pulses and to read the encoder signal from the motor. IEC 61131 programming code was incorporated in the form of ladder logic diagram, function blocks, and structured text. This research focuses on the control of position of the motor, leveraging the capabilities of control strategies embedded within a PLC. Traditional control strategies like Proportional Integral Derivative (PID) were also implemented within PLC next engineer. Utilizing advanced control strategies like MPC, research integrates them into PLC platforms to achieve superior control accuracy. The study uses a combination of simulation, experimentation, and real-world application to validate the proposed approach's effectiveness. The findings demonstrate that there was successful integration of Simulink with PLC for implementing control strategies. Detailed analyses of motor position and speed under varying conditions highlight the system's adaptability and responsiveness. PD (Proportional Derivative) showed effective results in controlling the position. This research concludes that the integration of Simulink with PLCs offers a robust solution for achieving precise and dynamic control over motor position.