【摘要】 针对波浪能转换装置在实际运行工况下产生的非线性效应导致波浪能捕获效率低下问题，文章提出一种模型改进功率优化策略。考虑浮子自由态所受合力，利用级数展开法进行等效近似，并引入独立迭代算法，基于统计相似性度量的卡尔曼滤波器确定多项式系数，建立欧拉-拉格朗日方程获取最优控制律，通过控制电流跟踪即可实现最大功率捕获。仿真结果表明，改进卡尔曼滤波器能降低噪声影响，减少参数辨识误差，文章所提策略可有效提升系统实际运行工况的输出功率。更多还原

【Abstract】 To address the issue of low wave energy capture efficiency caused by the nonlinear effects in the actual operating conditions of wave energy conversion devices, a model-based improved power optimization strategy is proposed. Considering the resultant force acting on the free state of the float, an equivalent approximation is carried out using series expansion, and an independent iterative algorithm is introduced. Based on the Kalman filter with statistical similarity measurement, the polynomial coefficients are determined, and then the Euler-Lagrange equations are established to obtain the optimal control law. By tracking the control current, the maximum power can be captured. Simulation results show that the improved Kalman filter can reduce the influence of noise and the parameter identification error. The proposed strategy can effectively enhance the output power of the system under actual operating conditions.更多还原