Research On Engineering Vibration Control Strategies And Optimal Sensors Deployment Using Intelligent Optimization

Vibration control technique has been widely applied in the fields of mechanical manufacturing, aerospace engineering, military affairs and scientific research etc. Vibrations are closely related to the use of modern equipment, which can be divided into two types according to the relationship between the equipment and the accompanying vibrations, i.e. power equipment and sensitive equipment, power equipment generates harmful vibrations which can influence the surrounding environment, and some tiny disturbance around will affect the norm use of sensitive equipment.Currently, there is still little research on vibration control for the two types of engineering equipment and a mature and complete theoretical system have not formed. In the current standard of our country, "Code for design of vibration isolation" only gives a provision for the single-stage vibration isolation model in which no control energy is considered, meantime, some shortages in this model are also ignored, and these will lead a result that it is difficult to achieve a desired isolation effect by using this strategy.Combined with existed vibration theories and advanced control methods, vibration control strategies for power equipment and sensitive equipment will be performed by using a novel swarm intelligence optimization algorithm-Particle Swarm Optimization (PSO) technique. In addition, from the standpoint of transition from theory to practice, a Magneto-Rheological damper (MRD) will be taken into account in the vibration control. Meantime, optimal sensors deployment will be carried out by proposing a discrete PSO (DPSO) algorithm, which is closely related to the common industrial structures for equipment. The main work and achievements accomplished in the thesis are summarized as follows:(1) Uncontrolled vibration isolation strategy. Based on the transmissibility derivation and dynamic analysis of power equipment and sensitive equipment, an optimization using Multi-Objective PSO (MOPSO) algorithm is performed, and this novel strategy can confirm the advantages of a proposed uncontrolled two-stage vibration isolation system compared with a single-stage one.(2) Optimal active control strategy. By introducing the PSO and MOPSO techniques to the active control of power equipment and sensitive equipment, optimal active control strategies including PSO-PID, PSO-LQR, PSO-LQG, PSO-H∞ and MOPSO-H2/H∞ are proposed respectively. In addition, by applying the variable universe technique into fuzzy logic control, PSO-VUFLC active control strategy is proposed on behalf of a smart control. Meantime, an active control strategy based on MOPSO for achieving multi-objective control outputs is proposed which is distinguished from the PSO based single-objective control output.(3) Model research of MRD damping force. A 6 segmentations-3 order polynomial model which can accurately predict the MRD force is proposed based on the mechanical test data, meantime, an open-loop control strategy is also proposed for the utilization of MRD.(4) Equivalent semi-active control strategy. A perfect tracing for nonlinear damping force and semi-active variable damping control force by using MRD based semi-active control for power equipment and sensitive equipment is performed. Likewise, a perfect "duplication" of optimal active control strategies which are proposed in the thesis is achieved by using the MRD based semi-active control, and this phenomenon indicates that the MRD system can replace the complicated active control.(5) Vibration control strategy for equipment-structure. Tuned Mass Damper (TMD)/Active TMD (ATMD) control techniques are introduced into the equipment-frame structure system when the interaction between equipment and frame structure is considered simultaneously, and the active control method in the ATMD is taken as the proposed optimal active control strategies in the thesis. Followed by, a MRD based Semi-active TMD (SATMD) control strategy is proposed according to the proposed model and open-loop control strategy of MRD, likewise, the effect of ATMD can be equivalently accomplished.(6) Optimal sensors deployment strategy. Combined with a probabilistic detection model, a Discrete PSO (DPSO) technique is proposed for solving the deployment of sensors on planar structure and spacial structure, which are combined with the affiliated structures of engineering equipment in modern industry.