Steady state analysis of modern industrial variable speed drive systems using controllers adjusted via grey wolf
Safwan Nadweh1, Ola Khaddam1, Ghassan Hayeh1
1Electrical Power Engineering Department, Tishreen University, 2230 Lattakia, Syria.
Heliyon
|November 18, 2020
Summary
This study optimized control circuits for variable speed drive systems using Grey Wolf Optimization (GWO) and Particle Swarm Optimization (PSO). GWO achieved better controller parameters, reducing current harmonics and ripple more effectively than PSO.
Area of Science:
- Electrical Engineering
- Control Systems
- Power Electronics
Background:
- Variable Speed Drive Systems (VSDS) often suffer from input current harmonics and DC-link current ripple.
- Effective control of the DC-link chopper is crucial for mitigating these power quality issues.
- Optimizing controller parameters (PI, PIDN) is key to improving VSDS performance.
Purpose of the Study:
- To reconfigure the control circuit for a four-quadrant chopper in VSDS.
- To reduce total harmonic distortion (THD) of input current and ripple factor (RF) of DC-link current.
- To compare the efficacy of Grey Wolf Algorithm (GWO) and Particle Swarm Optimization (PSO) for controller tuning.
Main Methods:
- Modeling of the VSDS and a proposed filter.
- Integration of GWO and PSO algorithms for parameter optimization.
- Tuning of Proportional Integral (PI) and Proportional Integral Derivative with filter (PIDN) controllers.
Main Results:
- GWO demonstrated superior performance over PSO in achieving optimal controller parameters.
- GWO required fewer iterations to converge compared to PSO.
- The system utilizing GWO exhibited an improved time response under both dynamic and static conditions.
Conclusions:
- GWO is a more effective optimization algorithm than PSO for tuning VSDS controllers.
- The proposed control circuit reconfiguration successfully reduces current harmonics and ripple.
- Optimized controllers enhance the overall performance and power quality of VSDS.
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