多轎廂電梯系統(tǒng)多目標(biāo)優(yōu)化方法研究
發(fā)布時(shí)間：2019-01-02 08:36
【摘要】：高層和超高層建筑隨著城市化的發(fā)展不斷增多,電梯作為建筑物內(nèi)僅能使用的垂直運(yùn)輸系統(tǒng),受到人們的廣泛關(guān)注。人們都電梯的性能和服務(wù)質(zhì)量的要求也在提高,傳統(tǒng)的單一井道內(nèi)一個(gè)電梯轎廂的單轎廂電梯已經(jīng)無(wú)法滿足現(xiàn)代化高層建筑對(duì)垂直交通的需求。種新型的“一井多梯”多轎廂電梯系統(tǒng)應(yīng)運(yùn)而生,通過(guò)在一條電梯井道內(nèi)增加電梯轎廂數(shù)量來(lái)提高電梯的運(yùn)載效率,是當(dāng)前國(guó)際上解決高層建筑輸送效率、減小占地面積、節(jié)約能源和減少建筑成本的最新方式。本文對(duì)多轎廂電梯的候梯時(shí)間、乘梯時(shí)間、系統(tǒng)能耗制定多目標(biāo)優(yōu)化,同時(shí)對(duì)多轎廂電梯系統(tǒng)的優(yōu)化策略和多轎廂電梯系統(tǒng)的安全避撞問(wèn)題進(jìn)行了探討,提出優(yōu)化避撞邏輯規(guī)劃的安全驗(yàn)證方法以及一種基于粒子群遺傳混合算法的優(yōu)化調(diào)度算法,本課題的研究具有良好的應(yīng)用前景和實(shí)用性。本論文研究?jī)?nèi)容主要工作如下：(1)查閱大量的國(guó)內(nèi)外相關(guān)資料,結(jié)合多轎廂電梯系統(tǒng)控制技術(shù)的國(guó)內(nèi)外發(fā)展趨勢(shì),制定了針對(duì)多轎廂電梯系統(tǒng)的優(yōu)化避撞邏輯規(guī)劃和粒子群-遺傳混合算法進(jìn)行安全驗(yàn)證和優(yōu)化調(diào)度的課題研究方案。(2)探討了多轎廂電梯系統(tǒng)的系統(tǒng)構(gòu)成,根據(jù)電梯轎廂運(yùn)行方式的不同將多轎廂電梯系統(tǒng)分為雙層轎廂電梯系統(tǒng)、循環(huán)式多轎廂電梯系統(tǒng)和單井道多轎廂電梯系統(tǒng)。(3)對(duì)多轎廂電梯系統(tǒng)建立多目標(biāo)優(yōu)化數(shù)學(xué)模型,針對(duì)平均候梯時(shí)間、平均乘梯時(shí)間以及多轎廂電梯系統(tǒng)運(yùn)行能耗三個(gè)性能控制目標(biāo),建立了循環(huán)式多轎廂電梯控制系統(tǒng)的多目標(biāo)優(yōu)化模型。(4)針對(duì)循環(huán)式多轎廂電梯系統(tǒng)的避撞問(wèn)題,根據(jù)循環(huán)式多轎廂電梯控制系統(tǒng)的轎廂安全運(yùn)行準(zhǔn)則,分析了循環(huán)式多轎廂電梯系統(tǒng)的避撞控制問(wèn)題,研究了基于優(yōu)化避撞邏輯規(guī)劃方法。提出了一種電梯轎廂安全避障新算法,建立了禁止轎廂危險(xiǎn)運(yùn)行的優(yōu)化避撞算式。從而避免了派梯中所選轎廂在井道中發(fā)生碰撞。通過(guò)實(shí)例仿真驗(yàn)證了所提方法的可行性、有效性,能夠保證循環(huán)式多轎廂電梯控制系統(tǒng)的安全運(yùn)行。(5)針對(duì)多轎廂電梯的候梯時(shí)間、乘梯時(shí)間、系統(tǒng)能耗三個(gè)目標(biāo)所建立的多目標(biāo)優(yōu)化算式,以候梯時(shí)間、乘梯時(shí)間、系統(tǒng)能耗為目標(biāo),提出一種基于粒子群-遺傳混合算法的多轎廂電梯系統(tǒng)的優(yōu)化調(diào)度方案,對(duì)比傳統(tǒng)遺傳算法,進(jìn)行了實(shí)驗(yàn)仿真,根據(jù)仿真圖進(jìn)行分析,仿真圖所顯示的結(jié)果驗(yàn)證了粒子群-遺傳混合算法新方法的有效性,對(duì)多轎廂多目標(biāo)優(yōu)化的可實(shí)現(xiàn)性和優(yōu)越性。(6)對(duì)本文章所研究的內(nèi)容進(jìn)行總結(jié),并對(duì)接下來(lái)的工作進(jìn)行展望。
[Abstract]:With the development of urbanization, elevators, as the only vertical transportation system in buildings, have been paid more and more attention. The performance and service quality of elevators are also being improved. The traditional single-car elevator in a single shaft can no longer meet the need of vertical traffic in modern high-rise buildings. A new type of "one well and more ladder" multi-car elevator system emerges as the times require. Increasing the number of elevator cars in an elevator shaft to improve the lift transportation efficiency is the current international solution to the transport efficiency of high-rise buildings and reduce the area occupied. The latest way to save energy and reduce construction costs. In this paper, the multi-objective optimization of the waiting time, riding time and energy consumption of multi-car elevator is made, and the optimization strategy of multi-car elevator system and the problem of safe collision avoidance of multi-car elevator system are discussed. A security verification method for optimal collision avoidance logic programming and an optimal scheduling algorithm based on particle swarm optimization and genetic hybrid algorithm are proposed. The research in this paper has good application prospects and practicability. The main work of this paper is as follows: (1) referring to a large number of domestic and foreign related materials, combined with the multi-car elevator system control technology development trends at home and abroad, In this paper, the optimal collision avoidance logic programming and Particle Swarm genetic Hybrid algorithm for multi-car elevator system are studied. (2) the system structure of multi-car elevator system is discussed. According to the different operation modes of the elevator car, the multi-car elevator system is divided into the double-deck car elevator system, the circulation multi-car elevator system and the single-shaft multi-car elevator system. (3) the multi-objective optimization mathematical model is established for the multi-car elevator system. Aiming at the three performance control objectives, the average waiting time, the average riding time and the running energy consumption of the multi-car elevator system, three performance control objectives are proposed. A multi-objective optimization model for the control system of the circulatory multi-car elevator is established. (4) aiming at the collision avoidance problem of the multi-car elevator system, according to the safe operation criteria of the control system of the multi-car elevator, In this paper, the collision avoidance control problem of cyclic multi-car elevator system is analyzed, and the logic programming method based on optimal collision avoidance is studied. In this paper, a new algorithm of safe obstacle avoidance for elevator car is proposed, and an optimized formula for avoiding collision is established. Thus avoiding the collision of the car selected in the ladder in the well. The simulation results show that the proposed method is feasible and effective, and can ensure the safe operation of the control system of the circulatory multi-car elevator. (5) for the waiting time and the ladder time of the multi-car elevator, This paper presents an optimal scheduling scheme for multi-compartment elevator system based on particle swarm optimization (PSO) and genetic hybrid algorithm (PGA), which is based on the multi-objective optimization formula established by three objectives of system energy consumption, such as waiting time, ladder time and system energy consumption. Compared with the traditional genetic algorithm, the experimental simulation is carried out, and the simulation diagram is analyzed. The results show that the PSO / GA method is effective. The realizability and superiority of multi-car and multi-objective optimization are discussed. (6) the contents of this paper are summarized and the future work is prospected.
【學(xué)位授予單位】：沈陽(yáng)建筑大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TU857
本文編號(hào)：2398269
[Abstract]:With the development of urbanization, elevators, as the only vertical transportation system in buildings, have been paid more and more attention. The performance and service quality of elevators are also being improved. The traditional single-car elevator in a single shaft can no longer meet the need of vertical traffic in modern high-rise buildings. A new type of "one well and more ladder" multi-car elevator system emerges as the times require. Increasing the number of elevator cars in an elevator shaft to improve the lift transportation efficiency is the current international solution to the transport efficiency of high-rise buildings and reduce the area occupied. The latest way to save energy and reduce construction costs. In this paper, the multi-objective optimization of the waiting time, riding time and energy consumption of multi-car elevator is made, and the optimization strategy of multi-car elevator system and the problem of safe collision avoidance of multi-car elevator system are discussed. A security verification method for optimal collision avoidance logic programming and an optimal scheduling algorithm based on particle swarm optimization and genetic hybrid algorithm are proposed. The research in this paper has good application prospects and practicability. The main work of this paper is as follows: (1) referring to a large number of domestic and foreign related materials, combined with the multi-car elevator system control technology development trends at home and abroad, In this paper, the optimal collision avoidance logic programming and Particle Swarm genetic Hybrid algorithm for multi-car elevator system are studied. (2) the system structure of multi-car elevator system is discussed. According to the different operation modes of the elevator car, the multi-car elevator system is divided into the double-deck car elevator system, the circulation multi-car elevator system and the single-shaft multi-car elevator system. (3) the multi-objective optimization mathematical model is established for the multi-car elevator system. Aiming at the three performance control objectives, the average waiting time, the average riding time and the running energy consumption of the multi-car elevator system, three performance control objectives are proposed. A multi-objective optimization model for the control system of the circulatory multi-car elevator is established. (4) aiming at the collision avoidance problem of the multi-car elevator system, according to the safe operation criteria of the control system of the multi-car elevator, In this paper, the collision avoidance control problem of cyclic multi-car elevator system is analyzed, and the logic programming method based on optimal collision avoidance is studied. In this paper, a new algorithm of safe obstacle avoidance for elevator car is proposed, and an optimized formula for avoiding collision is established. Thus avoiding the collision of the car selected in the ladder in the well. The simulation results show that the proposed method is feasible and effective, and can ensure the safe operation of the control system of the circulatory multi-car elevator. (5) for the waiting time and the ladder time of the multi-car elevator, This paper presents an optimal scheduling scheme for multi-compartment elevator system based on particle swarm optimization (PSO) and genetic hybrid algorithm (PGA), which is based on the multi-objective optimization formula established by three objectives of system energy consumption, such as waiting time, ladder time and system energy consumption. Compared with the traditional genetic algorithm, the experimental simulation is carried out, and the simulation diagram is analyzed. The results show that the PSO / GA method is effective. The realizability and superiority of multi-car and multi-objective optimization are discussed. (6) the contents of this paper are summarized and the future work is prospected.
【學(xué)位授予單位】：沈陽(yáng)建筑大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TU857
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