Effective algorithm for optimal controlling of equipment start-to-stop processes

Based on the Kuhn-Tucker condition, the Newton-Raphson iteration method was used to solve the nonlinear optimization. Considering the characteristics of the operating process optimization for high-temperature cyclic loads, a new method was developed to solve the nonlinear optimization problem. The active constraint set was introduced in the nonlinear constraints of the optimization, and the project gradient method was used to treat the linear boundary constraints. Examples show that the number of constraint functions is greatly reduced using this method and the convergence is guaranteed.