An Improved Control Parameterization Method for Chemical Dynamic Optimization Problems

An improved control parameterization method for dynamic optimization problems mainly extended from two-point gradient and variational method are developed to improve the performance of algorithm. Catalyst mixing problem is illustrated as the example. It has been observed that the present method can guarantee the accuracy and specially obtain optimization results which are pretty close to the analytical values. Furthermore, special attention is also paid to discuss the computational rate, which is the most disadvantage of control parameterization. It has been shown that the significant computational time saving is acquired by employing the novel solution