【作者】 张阿卜； 倪春木；

【Author】 Zhang Abu Ni Chunmu Department of Automation, Xiamen University, Xiamen 361005

【机构】 厦门大学计算机与信息工程学院自动化系；

【摘要】 本文提出一种基于模糊模型的一步超前预测控制算法。该算法利用一个作为对象模拟器的Takagi -Sugeno模糊模型产生控制量。为减少迭代阶段的计算时间,首先计算出一个控制量初值,然后用梯度下降法对其进行迭代修正。仿真实验验证了该算法的有效性。更多还原

【Abstract】 In this paper, an one-step ahead predictive control algorithm is proposed for nonlinear system. In our proposed algorithm, a Takagi-Sugeno fuzzy model which acts as a plant emulator is used to generate the control action. First, a initial value for the control action is solved to reduce calculation time in iterative procedure, then gradient descent method is adopted to correct the control action iteratively. The simulation results show the effectiveness of the algorithm.更多还原