抄録
Many studies have been devoted to development of tuning methods based on different principles in complexity, flexibility, and in the amount of process knowledge use. There is, however, a need for simple, easy-to-use, intuitive methods that require little information and that give moderate performance. Optimization is one of the powerful tools for tuning of controllers because the method is conceptually simple. This paper describes a tuning method for PID controller using optimization subject to constraints on derivatives of control input. Its control performance for a first-order lag plus a deadtime system is shown as an example of the commonly approximated controlled plants in process industries. Graphs by which the optimal PID parameters can be obtained are presented as functions of a normalized deadtime of a plant. To evaluate the control performance, the responses to load disturbance and reference input changes are presented compared to those by the partial model matching method. Moreover, it is found that the PID controller tuned by this optimization technique is robust and useful in simulations where a traditional PID controller would be used.
