![]() The evolutionary adaptive PID controller has difficulty in achieving real-time control due to the fact that it requires less prior knowledge. But, it is difficult to obtain the teacher signals in the supervised learning process. The adaptive PID controller approximates nonlinear structure by neural networks, which can achieve effective control without identifying the complex nonlinear controlled object. Moreover, this method has a large number of parameters that is needed to be optimized. The limitation of this method is that it needs much more prior knowledge. In order to satisfy the requirement of the self-tuning PID parameters, the method adjusts the parameters by querying fuzzy matrix table. The fuzzy PID controller adopts the ideology of matrix estimations. Based on the investigation of conventional PID controller, the adaptive PID controller adopts online parameter adjustment method according to the state of the system, therefore it has better system adaptability. The PID controller is a control loop feedback mechanism which is widely used in industrial control system. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |