Optimal Orientations and Locations of Actuators and Sensors for Structural Shape Control, Using Intelligent Algorithms

Optimal design of the orientations and locations of collocated piezoelectric actuators/sensors pairs for a plate-like structure under bending load uncertainty are determined with the objective of minimizing the deflection and electrical input under any sort of loading. The bending moments generated by the piezoelectric actuator actuators are used for deflection control, i.e., to minimize the deflection. The plate-like structure is subjected to an arbitrary load which lies in an uncertainty domain with regard to its magnitude and direction. The uncertain loading studied in the present paper involves a load of unknown magnitude and direction, which should be determined to produce the arbitrary deflection. Two optimization variables are considered for each piezoelectric actuator/sensor device: the location of its center and its orientation. An optimal control algorithm and three types of artificial intelligence algorithms (AISOOL algorithm--Artificial Immune Systems for optimization of orientations and locations of actuators, ACOPSOOOL algorithm--ACO and PSO for optimization of orientations and locations of actuators, HTOOL algorithm--Hop field-Tank for optimization of orientations and locations of actuators, optimal control algorithm) are presented for the determination of the orientation and location of piezoelectric actuators/sensors in the application to shape control of plate-like structures. Numerical results show that simultaneous optimization of both orientations and locations can lead to optimum configurations that consume less electrical energy and minimizing the deflection. AISOOL algorithm can handle the optimization of orientations and locations of actuators/sensors better than ACOPSOOOL algorithm and HTOOL algorithm. The different algorithms exhibit similar performance. However, exhaustive ACOPSOOOL algorithm and HTOOL algorithm require significantly higher computational effort.