The Study Of Active Vibration Control Of Piezoelectric Cantilever Beam Based On The Artificial Immune Clonal Algorithm

Any engineering structure will have vibration when they are inspired by the dynamic interference. Vibration will not only reduce the performance of mechanical systems, but also endanger human health. Strong and sustained vibration sometimes even will cause have devastating damage to engineering structures. So people are increasingly noticing active vibration control due to good effect, adaptability, and other potential advantages.At present, the various control algorithms of the active vibration control need calculated accurately the various parameters of vibration equation for good control results. In reality, however, calculation of exact value of these parameters is very difficult, In general situation, we take estimates and assumptions, so control effect is not satisfactory. According to these situations, a new immune clonal algorithm based on the probability of cyclic mutation of piezoelectric cantilever beam is designed in the paper. The algorithm can avoid a lot of cumbersome works about precise calculation of system parameters, improve the control method of active vibration suppression of cantilever beam, and realize the learning control.In the paper, first, the mechanical analysis of piezoelectric cantilever beam is taken. According to the analysis, the first three modes have greatest impact to the vibration of beam. Second, a new immune clonal algorithm based on the probability of cyclic mutation is presented according to the vibration characteristics of beam. The algorithm can further enhance the convergence speed, effectively overcome premature, well resolve similar complex issues of multidimensional function optimization, and suit for the control strategy optimization of control system. Third, the algorithm is applied to the control model of piezoelectric intelligent cantilever beam, and the simulation experiment of whole system was done. According to simulation experiments, the algorithm, designed in the paper, has capabilities of the faster convergence speed, the better control effect, the control parameters adjusted automatically by self-learning, and the convenience in practice. At last, the experimental system of piezoelectric intelligent cantilever beam is constructed. The system fully demonstrated the intelligent beam control based on the artificial immune algorithm of the probability of dynamic mutation is entirely feasible. Its control effect is obviously superior to the effect of ordinary PID control, and realizes self-adjusting control of the PID parameters of system.