Ripple Correlation Control for Real-Time Optimization in Photovoltaic Systems and Switched Reluctance Motors
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| Natura: | Recurso digital |
| Lingua: | Antico inglese |
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2025
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| _version_ | 1866901783481155584 |
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| author | Ahmed Ibrahim, Khudhur Khudhur Abbas, UĞURENVER |
| author_facet | Ahmed Ibrahim, Khudhur Khudhur Abbas, UĞURENVER |
| contents | <p>Ripple Correlation Control (RCC) is an actual time optimization method that utilizes the inherent switching ripple of electrical electronic systems to enhance a cost function associated with system states. In solar energy (PV) applications, RCC is used to optimize output power by choosing a cost function that precisely represents the panel's power characteristics. While the global maximum is theoretically unique (unimodal), practical considerations such as partial shading might create many peaks, necessitating mode-switching tactics to improve the likelihood of reaching the global optimum. RCC is especially advantageous for switching power converters, since the intrinsic ripple in system variables ensures continuous excitation. This property enables RCC to ascertain the gradient direction autonomously, eliminating the necessity for external perturbation, thereby rendering it appropriate for maximum power point tracking (MPPT) in photovoltaic systems and efficiency enhancement in motor drives. In motor applications, RCC is incorporated in Proportional-Integral-Derivative (PID) controllers to augment the performance of Switched Reluctance Motors (SRMs). The PID controller improves system stability and reduces steady-state error and oscillations. Nevertheless, while the integral component enhances precision, it may compromise transient performance and velocity. The derivative component, on the other hand, enhances responsiveness and aids in mistake forecasting. The parametric input/output (PID) controller is tuned using procedures such as Ziegler - Nichols to guarantee optimum dynamic response. Switched Reluctance Motors (SRMs) are increasingly favoured for their robust design and intrinsic fault tolerance, mostly attributed to the independent torque production throughout phases and the lack of permanent magnets. These characteristics render SRMs impervious to common converter malfunctions like shoot-through incidents. Nonetheless, SRM torque generation is markedly nonlinear, affected by rotor position and phase current, posing difficulties for traditional control methods. Current fault-tolerant techniques for SRMs, like present profiling and healthy phase extension, mostly rely on static, offline data and do not accommodate dynamic variations in machine parameters. Moreover, several approaches are constrained to low-speed operation and have difficulties in sustaining torque production with little ripple during fault situations. Combining RCC with adaptable control methods such as PID, particularly in dynamic settings, may improve system performance in solar power plants and electrical motor drives, providing a robust and economical management strategy to feed real-time, nonlinear systems.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16778014 |
| institution | Zenodo |
| language | ang |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Ripple Correlation Control for Real-Time Optimization in Photovoltaic Systems and Switched Reluctance Motors Ahmed Ibrahim, Khudhur Khudhur Abbas, UĞURENVER RCC, PV, MPPT, P&O, SRM, PID <p>Ripple Correlation Control (RCC) is an actual time optimization method that utilizes the inherent switching ripple of electrical electronic systems to enhance a cost function associated with system states. In solar energy (PV) applications, RCC is used to optimize output power by choosing a cost function that precisely represents the panel's power characteristics. While the global maximum is theoretically unique (unimodal), practical considerations such as partial shading might create many peaks, necessitating mode-switching tactics to improve the likelihood of reaching the global optimum. RCC is especially advantageous for switching power converters, since the intrinsic ripple in system variables ensures continuous excitation. This property enables RCC to ascertain the gradient direction autonomously, eliminating the necessity for external perturbation, thereby rendering it appropriate for maximum power point tracking (MPPT) in photovoltaic systems and efficiency enhancement in motor drives. In motor applications, RCC is incorporated in Proportional-Integral-Derivative (PID) controllers to augment the performance of Switched Reluctance Motors (SRMs). The PID controller improves system stability and reduces steady-state error and oscillations. Nevertheless, while the integral component enhances precision, it may compromise transient performance and velocity. The derivative component, on the other hand, enhances responsiveness and aids in mistake forecasting. The parametric input/output (PID) controller is tuned using procedures such as Ziegler - Nichols to guarantee optimum dynamic response. Switched Reluctance Motors (SRMs) are increasingly favoured for their robust design and intrinsic fault tolerance, mostly attributed to the independent torque production throughout phases and the lack of permanent magnets. These characteristics render SRMs impervious to common converter malfunctions like shoot-through incidents. Nonetheless, SRM torque generation is markedly nonlinear, affected by rotor position and phase current, posing difficulties for traditional control methods. Current fault-tolerant techniques for SRMs, like present profiling and healthy phase extension, mostly rely on static, offline data and do not accommodate dynamic variations in machine parameters. Moreover, several approaches are constrained to low-speed operation and have difficulties in sustaining torque production with little ripple during fault situations. Combining RCC with adaptable control methods such as PID, particularly in dynamic settings, may improve system performance in solar power plants and electrical motor drives, providing a robust and economical management strategy to feed real-time, nonlinear systems.</p> |
| title | Ripple Correlation Control for Real-Time Optimization in Photovoltaic Systems and Switched Reluctance Motors |
| topic | RCC, PV, MPPT, P&O, SRM, PID |
| url | https://doi.org/10.5281/zenodo.16778014 |