摘要
广义预测控制最适于大滞后控制,但传统的受限预测控制由于优化过程复杂,计算量较大而未能得到很好应用。针对传统受限预测控制优化算法的这些缺点,在合理简化传统约束条件下,提出了一种简化的受限预测控制算法,该方法既简化了约束条件又避免了矩阵求逆。最后将此控制方法应用于火电机组的再热汽温控制对象上,通过仿真实验,输入、输出均限制在约束条件内,得到了理想的控制效果。由于算法简单,计算量小,所以是一种有较大应用前景的控制方法。
To overcome these shortcomings of traditional constrained predictive control,an improved constrained predictive control algorithm is proposed under the condition of simplified the traditional constraints.This method not only simplifies the constraints but also avoids the matrix inversion.Finally this method is applied to the reheated steam temperature control sys- tem of thermal power plant,the simulation results show that satisfactory performance is obtained and the input and output meet the constraints.The algorithm is simple and the computational speed is higher.
出处
《工业控制计算机》
2018年第11期59-61,共3页
Industrial Control Computer
关键词
受限
约束
优化
预测控制
再热汽温
constrained
constraints
optimization
predictive control
reheat steam temperature