Optimal sensor/actuator locations for active structural acoustic control

Abstract

Researchers at NASA Langley Research Center have extensive experience using active structural acoustic control (ASAC) for aircraft interior noise reduction. One aspect of ASAC involves the selection of optimum locations for microphone sensors and force actuators. This paper explains the importance of sensor/actuator selection, reviews optimization techniques, and summarizes experimental and numerical results.Three combinatorial optimization problems are described. Two involve the determination of the number and position of piezoelectric actuators, and the other involves the determination of the number and location of the sensors. For each case, a solution method is suggested, and typical results are examined. The first case, a simplified problem with simulated data, is used to illustrate the method. The second and third cases are more representative of the potential of the method and use measured data. The three case studies and laboratory test results establish the usefulness of the numerical methods.

GA-based optimization of a MIMO ANC system considering coupling of secondary sources in a telephone kiosk

“…Their proposed genetic algorithm uses integer coding and it is repeated for different initial population sizes to achieve the best results. The use of genetic algorithm for optimization of active vibration control system in flexible structures using genetic algorithm is reported in [13,20]. Simulated annealing is also used and compared with genetic algorithm for optimization of an ANC system.…”

“…3. Optimal placement of PZT actuators and error microphones in a structure-acoustic system intended to optimize an active structural acoustic control system [13,14].…”

Optimal sensor placement for enhancing sensitivity to change in stiffness for structural health monitoring

“…A Los Alamos National Laboratory report (Doebling et al 1996) contains a detailed overview of existing techniques and methods used to evaluate and monitor the health of structures and systems. The general optimal sensor placement problem has been studied in many different contexts, including noise attenuation and vibration control (Padula et al 1998;Padula and Kincaid 1999), system identification (Kincaid and Padula 2002), radiation source failure detection (Chaudhuri and Ghosh 2000), positioning of actuators and sensors in a structure (Lopes et al 2004), and placement of strain sensors on the flexible supporting structure for long reach manipulators (Mavroidis et al 1997).…”

Structural Health Monitoring Sensor Placement Optimization Under Uncertainty

“…Studies by Padula 39,40,41 and Raich 42 have examined the problems and issues involved with SPO. Integer and combinatorial optimization methods have been used to optimize the placement of actuators for vibration control and noise attenuation.…”