Modern control strategy applied to wave power hydraulic simulator | ||
| Journal of International Society for Science and Engineering | ||
| Volume 5, Issue 3, September 2023, Pages 73-82 PDF (1.14 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/jisse.2023.213532.1077 | ||
| Authors | ||
| sara fathy Abozina* 1; Waleed abdel-Hady Oraby2; Mohamed Hanafy3 | ||
| 1Mechatronics,MTI University graduate | ||
| 2Professor, Automotive & Tractors Department, Helwan University- Mataria Branch, Egypt | ||
| 3Assistant Professor, Mechanical Power Energy Department, Helwan University- Mataria Branch, Egypt | ||
| Abstract | ||
| The management of ocean Wave Energy Converters (WECs) controls what quantity of energy gets captured from waves. In order to improve the effectiveness and dependability of WECs and Power Take Off systems (PTOs), further research is required. WECs have the potential to become a substantial source of renewable energy. and to develop cost-effective solutions for commercial deployment. Throughout the past few decades, a spectrum of control techniques have been created and tested to maximize the gathered energy. In the current Paper, A wave power hydraulic model was created and compared to the existing test rig. to assess its validity to mimic the real system. Then a Modern control strategy was applied to the hydraulic simulator for maximum power harvesting. The maximum applied Pressure during the entire testing was 60 bars (the only change observed with higher pressure was accelerating the piston). In this research, an optimization technique is presented called A Particle Swarm Optimization (PSO), it is a Proportional-Integral-Derivative (PID) based method for optimizing the PID gain parameters while being applied to the model. The experimental results showed that the PSO-based optimization method did not improve the performance of the position control system in a significant manner. | ||
| Keywords | ||
| Wave power; Hydraulic simulator; Renewable energy | ||
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