基于改進粒子群算法的自動液壓拉緊裝置控制系統(tǒng)優(yōu)化
發(fā)布時間:2018-04-19 10:42
本文選題:液壓拉緊裝置 + 動態(tài)特性 ; 參考:《安徽理工大學》2017年碩士論文
【摘要】:帶式輸送機已經(jīng)成為綜合了機械、電氣、液壓和控制等多學科為一體的散裝物料的現(xiàn)代化大型連續(xù)運輸設備之一,由于其不斷的向著大功率、高速度、長距離以及大運量等方向發(fā)展,使得帶式輸送機的動態(tài)特性對其運行性能的好壞變得日益突出。其中由于帶式輸送機的拉緊裝置是其重要組成部分,所以它性能的好壞對帶式輸送機的動態(tài)特性有著重要的影響,關(guān)系到帶式輸送機安全運行、可靠性以及使用壽命等。因此,對于研究帶式輸送機(尤其是大型帶式輸送機)的拉緊裝置具有重要意義。本文通過對國內(nèi)外常用的帶式輸送機液壓拉緊裝置進行分析,在其基礎上進行改進,并且介紹了它的工作原理。通過對改進后的液壓拉緊裝置的物理模型進行詳細的分析,對其各個模塊中的元件都建立數(shù)學模型而最終聯(lián)立得到該液壓拉緊裝置的數(shù)學模型。在電氣控制中選擇PID控制方式,并且通過在標準粒子群算法(PSO)的基礎上進行混沌處理,得出了一種改進粒子群算法,對該算法進行仿真測試,仿真結(jié)果表明改進后的粒子群算法的優(yōu)化效果要優(yōu)于標準粒子群算法。然后通過改進后的粒子群算法對PID控制器中的三個參數(shù)Kp、Ki、Kd進行參數(shù)優(yōu)化,并在Matlab/Simulink模塊中對優(yōu)化后的PID和液壓拉緊裝置的數(shù)學模型進行聯(lián)合仿真,并與未優(yōu)化的PID和液壓拉緊裝置的數(shù)學模型聯(lián)合仿真的結(jié)果進行對比,結(jié)果表明前者的單位階躍響應達到平穩(wěn)的時間要少與后者。通過在MATLAB/Simulink模塊中進行聯(lián)合仿真后,仿真結(jié)果表明經(jīng)過改進粒子群算法優(yōu)化后的PID控制下的液壓拉緊裝置的動態(tài)性能更佳,使得該液壓拉緊裝置在PID控制下對帶式輸送機的運行具有良好的響應速度,可以對拉緊力的控制更加精準,使其能在較短的時間內(nèi)完成緊帶與松帶,也可以使輸送帶在運行時受到較小的沖擊從而避免引起較大的振動,使其達到較好的控制效果。
[Abstract]:Belt conveyor has become one of the modern large and continuous transportation equipment which integrates mechanical, electrical, hydraulic and control disciplines, because of its constant trend towards high power and high speed.With the development of long distance and large capacity, the dynamic characteristics of belt conveyor become more and more important.Because the tension device of the belt conveyor is an important part of the belt conveyor, its performance has an important impact on the dynamic characteristics of the belt conveyor, and relates to the safe operation, reliability and service life of the belt conveyor.Therefore, it is of great significance to study the tensioning device of belt conveyor (especially large belt conveyor).In this paper, the hydraulic tensioning device of belt conveyor used at home and abroad is analyzed, the improvement is made on its basis, and its working principle is introduced.Through the detailed analysis of the physical model of the improved hydraulic tensioning device, the mathematical model of the components in each module is established and the mathematical model of the hydraulic tensioning device is finally obtained.The PID control method is chosen in the electrical control, and through chaotic processing based on the standard particle swarm optimization (PSO) algorithm, an improved PSO algorithm is obtained, and the simulation test of the PSO algorithm is carried out.Simulation results show that the improved particle swarm optimization algorithm is better than the standard particle swarm optimization algorithm.Then the parameters of the three parameters of PID controller are optimized by the improved particle swarm optimization algorithm, and the mathematical model of the optimized PID and hydraulic tension device is simulated in the Matlab/Simulink module.The results are compared with the simulation results of the unoptimized PID and the mathematical model of the hydraulic tension device. The results show that the unit step response of the former is less stable than the latter.Through the joint simulation in MATLAB/Simulink module, the simulation results show that the dynamic performance of the hydraulic tensioning device under the PID control is better after the improved PSO algorithm is optimized.The hydraulic tension device has a good response speed to the belt conveyor operation under the control of PID, and can control the tension force more accurately, so that it can complete the strapping and loosening belt in a relatively short time.The conveyor belt can also be subjected to a small impact in operation to avoid causing a larger vibration, so that it can achieve a better control effect.
【學位授予單位】:安徽理工大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TH222;TP18
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