This paper presents a Super-Twisting Algorithm (STA) sliding mode control technique as an alternative to the conventional Proportional-Integral (PI) control system. This application is specifically in the context of a nonlinear Archimedes Wave Swing (AWS) device, which functions as a wave energy converter system (WECS) connected to the power grid. The main goal is dynamic performance enhancement of such wave energy systems under network disturbances. Two STA controllers areessential for the rectifier control system in the grid-connected system to capture the most power from waves while limiting losses in the AWS linear generator. In addition, four STA controllers are incorporated into the inverter control loop to preserve the DC link and common coupling voltages at the preset values. The Honey-Badger Algorithm (HBA) is applied for the optimization of gain parameters of the STA controllers, which are compared to the PI gains adjusted using the coot, the hybrid augmented grey wolf optimizer and cuckoo, and PSO search techniques to assess the worthiness of adopting this new control approach. The grid-connected AWS experiences a variety of faults, includingsymmetrical and unsymmetrical faults with successful and unsuccessful breaker reclosures. Finally, the system is experimentally validated using the OP4510 real-time simulator. The experimental results reveal that the HBA-STA controllers outperformPI controllers in omitting fluctuations in the regulated variables, making the STA a strong contender as a control method.

中文翻译：

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基于最优超扭转控制策略的非线性AWS波浪能系统动态性能增强

本文提出了一种超扭转算法（STA）滑模控制技术作为传统比例积分（PI）控制系统的替代方案。该应用特别适用于非线性阿基米德波浪摆动 (AWS) 设备，该设备充当连接到电网的波浪能转换器系统 (WECS)。主要目标是增强此类波浪能系统在网络扰动下的动态性能。两个 STA 控制器对于并网系统中的整流器控制系统至关重要，可以从波浪中捕获大部分电力，同时限制 AWS 线性发电机的损耗。此外，逆变器控制环路中还集成了四个 STA 控制器，以将直流母线和公共耦合电压保持在预设值。蜜獾算法 (HBA) 用于优化 STA 控制器的增益参数，与使用 coot、混合增强灰狼优化器和布谷鸟调整的 PI 增益以及 PSO 搜索技术进行比较，以评估其价值采用这种新的控制方法。并网AWS会遇到各种故障，包括对称和不对称故障以及断路器重合成功和不成功。最后，使用OP4510实时模拟器对系统进行了实验验证。实验结果表明，HBA-STA 控制器在忽略调节变量波动方面优于 PI 控制器，使 STA 成为控制方法的有力竞争者。