Adaptive Internal Model Control Based on Parameter Adaptation

In actual industrial control, many objects have the characteristics of large lag and time-varying parameters, which makes it difficult for traditional PID control to obtain satisfactory effects. Therefore, engineers need a algorithm with better effect simple structure, thus internal model is introduced into process control. Internal has received lot attention in field because its excellent effect, ideal conditions, can perfectly suppress external disturbances, output strictly tracks input. On basis two-degrees-of-freedom was developed. Compared conventional feedback structure mainly embeds an consistent object object, so deviation between determines quality effect. this paper, changed adjustable parameter model, parameters are adjusted real time using adaptive algorithm, that error as small possible, or even zero. order solve influence interference on system, compensation based MRAC theory used. verify feasibility applied landing fixed-wing Unmanned aerial vehicle) UAV achieved results.