Study On The Intelligent Control System Of Hydraulic Support

The usage of the hydraulic support electric-hydraulic control system, which can enhancethe advancing velocity of support greatly, is the most effective technological approach inrealizing the high output and efficiency of the comprehensive mechanized coal face. However,since there are nonlinear elements and uncertain factors in the control of the hydraulicsupport, which leads to some limitations in the usage, how to combine the intelligent control,which can solve the above problems, and the hydraulic support electric-hydrauliccontrol system to make the hydraulic support develop towards the direction of the intelligencehas been an important research topic.In this thesis, the shortcomings are picked out in the hydraulic support electric-hydraulic control though analyzing deeply the problems of the hydraulic supportelectric-hydraulic control system in practice. And then the shortcomings by means of theintelligent algorithms are improved and the improvements are verified by using theexperiments and simulations. The whole thesis researches on several key issues aboutintelligence of the hydraulic support.Firstly, due to too many hydraulic supports in the comprehensivemechanized mining face underground and the onerous task of wiring between brackets, aswell as the very harsh mining environment underground, the cables between the controllersare susceptible to be damaged, which will affect the signal transmission. Hence, the idea thatapplying the wireless communication technology to the hydraulic supports to achieve thewireless communication of the supports is proposed in this thesis. At the same time, therouting nodes choice can be intelligently optimized by using the genetic algorithms in thewireless network communications and the self-diagnosis and self-repairing of the wirelessnetwork can be achieved, which can diagnose and repair the failure nodes to keep thenetwork communication unaffected.Secondly, in the wireless communication, the original signals might be polluted by thechaos in the actual signal collection and transmission, and the preprocessing of the collectedsignal using the Translation invariant (TI)wavelet de-noising method can effectively control the disturbance of the chaos signal. On the basis of the above, the harmonic/inter-harmonicdetection of the wireless communication signals by using the HHT improves the detectionaccuracy greatly. At the same time, the problems of the end effects in the actual use of theHHT taking advantage of the SVM can be controlled, which achieves good results. Thefeasibility of the method is verified by the simulations.Thirdly, according to the factors which affect the hydraulic supports not keepingconsistency in the movement, this thesis uses three new methods of the combinations of theSVM with the cross validation algorithm, the genetic algorithm and the chaotic particleswarm algorithm respectively to design a model of the hydraulic support pushingcontrol system. The models are proved to have the ability to improve the phenomenon thatthe hydraulic supports can not keep consistency in the movement by testing the model andthe data. In addition, the models enhance the degree of the automation in the control mode,which makes the hydraulic support pushing control have a big step of the intelligentdirection.At last, on the basis of the attribute reduction of the rough set to the fixed frame formatdata, the hydraulic support monitoring systems by using the configuration software and thedevelopment environment are established respectively in the thesis. And the thesis solvessome problems such as huge amount of data, slow transmission speed, data channel jam andbeing unable to communicate because of the different protocols between equipment in thehydraulic support monitoring system. The experiments show that the new support monitoringsystems can identify different protocols automatically when the system operates. Meanwhile,the new hydraulic support monitoring systems can build the communication betweendifferent support equipment and simplify the data amount in the communication of themonitoring system, which can increase the smooth degree of the data transmission channeland improve the communication speed greatly.The following innovative results have been achieved about the intelligent hydraulicsupport control systems.(1) The ZigBee wireless communication technology is applied to the intelligenthydraulic support control systems and the routing nodes of the wireless network are chosenby using the genetic algorithm in the thesis.(2) The harmonic/inter-harmonic detection method of the wireless communicationsignals based on the HHT is proposed and the method of the controlling the end effects of thepractical use of the HHT taking advantage of the SVM is put forward in this thesis.(3) The integrated intelligent algorithms are applied to establish the model of thehydraulic support pushing control system which solves the non synchronous problem during the process of hydraulic support pushing in the thesis.(4) The method of constructing the hydraulic support monitoring system framework andthe new data processing method of communication protocols in the framework on the basis ofthe rough set reduction theory and the VC programming are proposed in this thesis.