一种工业过程稳态优化控制算法

Algorithm for steady-state optimizing control of industrial processes

针对带有输出关联约束的工业过程,提出一种确定其稳态优化控制的算法.首先通过对数变换将原问题转化为一个等价而且可在对数空间求解的优化控制问题;然后为避免事先选择一个合适罚系数的困难,在算法中引入了目标函数的线性化形式.该优化算法不仅能收敛到正确的系统最优解,而且可用现有的二次规划算法计算.应用简单的滤波技术,改善了算法在有量测噪声情况下的性能.仿真结果表明,所提出的优化算法是有效的.

An algorithm for determining the steady-state optimizing control of industrial processes with output dependent constraints is proposed. In the optimization scheme, by using the logarithmical transformation, the original problem is transformed firstly into an equivalent optimizing control problem that can be solved in logarithmic space. Then the linearization of the objective function is introduced to overcome the difficulty of choosing an appropriate penalty coefficient. The presented optimization method not only converges the correct optimal operating point of industrial processes, but also can be computed with available quadratic programming techniques. Simple filter approaches are emplyed to improve the algorithm performance in the presence of noise. The simulation results show the validity of the proposed algorithm.