Active Noise Control Study In Multi-propeller Driven Plane Based On Propeller Synchrophasing Control

Compared with turbofan engine, turboprop engine have the advantage of low fuel consumption,large power and quick power respond, but have the disadvantage of grievous noise and vibration.Propeller synchrophasing control is an active noise control technology with high feasibility andsignificant effect among various kinds of passive and active methods. Relevant issues about phasesynchrophasing control such as synchrophasing angle optimizing, control strategy and algorithm,power/speed/phase synchrophasing integrated control were studied in this paper.Firstly, the mechanism of synchrophasing control, the necessity of synchrophasing angle optimizingwere introduced and analyzed. A distributed synchrophasing angle optimizing scheme which cansimplify the wiring and is more feasible than the traditional scheme was proposed. A synchrophasingcontrol scheme regarding all the engines as slave engine was proposed. The new synchrophasingcontrol scheme can improve the interoperability and maintainability of engine control system andsynchrophasing control accuracy, and makes the distributed synchrophasing control feasible. A simpleand effective synchrophasing control strategy was proposed and verified by both simulation andexperiment. The Phase-Locked Loop control algorithm and the fuzzy logic control algorithm used insynchrophasing control were verified by simulation and the first one was verified by experiment.Secondly, the necessity and feasibility of the synchrophasing control experimental platform wasanalyzed. The experimental platform was designed and build. The synchrophasing control scheme,strategy and algorithm were verified by the experimental platform.Thirdly, an improved acoustic model identifying method, using a mixed conjugate gradient methodto improve the identifying speed, which can improve the identification accuracy while reducing thereal-time communication requirement between modules was proposed and validated by experiments.The influence of different data acquisition conditions on the identification accuracy was also studied.Ant colony optimization algorithm was used and improved in the synchrophasing angle optimizingproblem.Lastly, the synchrophasing control strategies were studied and simulated using turboprop enginecomponent level model. The advantage of the new synchrophasing control scheme was analyzed andverified by turboprop engine component level model. The requirement of synchrophasing controlalgorithm was mentioned.