Abstract: The integrated optimization design of active vibration control system for intelligent truss structures, including the feedback gains and the positions of active/passive members, is formulated. A performance function is initially developed, based on the maximization of energy dissipation due to active vibration control action. A novel constrained immune genetic algorithm is presented to solve the kind of optimization problem with the discrete and continuous design variables. Then, according to the characteristics of the optimal problem, a new problem-specific encoding scheme, some special “immune genetic” operators and a novel antibody similarity computation method are proposed and discussed. A numerical example of a 16-bar planar intelligent truss structure is presented to demonstrate the rationality and validity of this methodology, and some useful conclusions are obtained.

Key words: Active vibration control, Immune genetic algorithm, Intelligent truss structures, Fuel cell vehicle, Heat transfer, Mini-channel, Parallel flow heat exchanger, Various conditions