为改善复杂工况下直驱式波浪发电系统功率捕获效果、降低控制器计算负担,基于矩匹配算法改进模型预测控制策略。通过建立系统水动力模型,选取波浪关键频率,利用Sylvester方程计算该频率下系统期望矩,得到匹配幅相特性的降阶模型。根据系统降阶模型,构造并求解可计及电机铜耗的改进二次型成本函数,计算理想电磁力,得到q轴期望电流跟踪值,提升波能捕获能力同时减少系统主要损耗。仿真结果表明：矩匹配降阶算法拟合程度高、动态行为好,所提控制策略波能转换效率提高,系统输出平均功率增加。
Abstract
To improve the power capture effect of direct-drive wave power systems under complex operating conditions and to reduce the computational burden on the controller, the model prediction control strategy is improved based on the moment matching algorithm. By building a hydrodynamic model of the system, selecting the key wave frequency and using Sylvester’s equation to calculate the expected moments of the system at this frequency, a reduced-order model with matching amplitude and phase characteristics is derived. Based on a reduced-order model of the system, an improved quadratic cost function that accounting for motor copper consumption is constructed and solved, calculate the ideal electromagnetic force, and obtain the desired current tracking value for the q-axis to improve wave energy capture while reducing major system losses. Simulation results show that the moment matching reduced-order algorithm fits well, the dynamic behaviour is good, the wave energy converter efficiency of the proposed control strategy is improved and the average system output power increases.
关键词
波浪能 /
波浪能转换 /
模型预测控制 /
永磁直线同步电机 /
模型降阶
Key words
wave power /
wave energy conversion /
model predictive control /
permanent magnet liner synchronous machine /
model reduction
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基金
国家自然科学基金（62173148）; 广东省自然科学基金（2023A1515010184）
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