Developing an active noise control mechanism is an primary factor to improving passenger noise comfort within aircraft cabins. The purpose of this work is to develop intelligent sub-systems for an active noise control system, the three major systems of focus are head tracking system, speaker motion system, and integrated system. The three systems are individually assessed through established validation tests that evaluate the performance of the elements within the systems, the major components considered mainly correspond to the dynamic nature of the passengers and cabin environment. An AI-based head tracking system is tested for robustness through detailed accuracy tests, additionally, various cabin-based elements have been considered. The impact of the speaker motion system under dynamic head movements is developed through a data-driven approach, which creates a Zone Of Quiet map around the passenger’s ears. The integrated system is developed through a hybrid model, that develops geometric relationships and an optimal control strategy that ensures a Zone Of Quiet exists around passenger’s ears. Lastly, all the systems have been tested on real cabin environment, to attain a realistic understanding of the systems’ performance which effectively builds an understanding of the overall active noise control system with the integration of the individual system mechanisms.