機(jī)器人磨拋的主動(dòng)柔順控制技術(shù)研究
發(fā)布時(shí)間:2018-08-27 12:14
【摘要】:隨著智能制造的發(fā)展,機(jī)器人在磨拋中應(yīng)用也越來(lái)越多。在機(jī)器人磨拋過(guò)程中,穩(wěn)定控制磨拋力提高對(duì)磨拋質(zhì)量具有重要意義。因此,本文針對(duì)機(jī)器人磨拋力的控制算法進(jìn)行研究。(1)通過(guò)分析磨拋過(guò)程中工件的受力情況,得出控制磨拋時(shí)法向力為恒力來(lái)控制磨拋質(zhì)量。結(jié)合兩種主動(dòng)柔順控制算法的優(yōu)缺點(diǎn),最終提出力位混合控制算法來(lái)控制機(jī)器人磨拋力。(2)針對(duì)機(jī)器人磨拋過(guò)程中外力干擾和曲面磨拋,分別提出變參數(shù)PID控制法和基于矢量法力位混合控制算法。依據(jù)PID控制器的參數(shù)變化模型,建立控制參數(shù)隨工況變化的PID控制器,提高機(jī)器人在磨拋過(guò)程控制磨拋力抗外力干擾的能力。通過(guò)分析曲面模型和曲面跟蹤控制原理,提出了基于矢量法的力位混合控制算法,實(shí)現(xiàn)機(jī)器人多維力控制和曲面跟蹤。(3)在MATLAB和Adams仿真環(huán)境中對(duì)力位混合控制算法進(jìn)行仿真驗(yàn)證。通過(guò)在MATLAB中驗(yàn)證變參數(shù)PID控制算法,表明外力干擾時(shí)末端力在0.8s內(nèi)穩(wěn)定下來(lái);而驗(yàn)證基于矢量法控制算法時(shí),多維力在1s內(nèi)穩(wěn)定下來(lái)。在MATLAB和Adams聯(lián)合仿真實(shí)驗(yàn)中,末端力在0.8s內(nèi)穩(wěn)定并具有曲面跟蹤的效果,驗(yàn)證了提出的兩種控制算法。(4)設(shè)計(jì)力位混合控制算法的驗(yàn)證實(shí)驗(yàn),驗(yàn)證了變參數(shù)PID比常規(guī)PID穩(wěn)定速率提高70%,而機(jī)器人在多維力在外力干擾時(shí),可以一直保持穩(wěn)定狀態(tài)。分析實(shí)驗(yàn)曲線變化,證明提出的控制算法達(dá)到預(yù)期的控制效果。
[Abstract]:With the development of intelligent manufacturing, robots are used more and more in grinding and polishing. In the process of robot polishing, it is very important to control the grinding force and improve the polishing quality. Therefore, the control algorithm of robot grinding force is studied in this paper. (1) by analyzing the force of workpiece in the grinding process, it is concluded that the normal force of grinding time is constant force to control the polishing quality. Combined with the advantages and disadvantages of two active compliance control algorithms, a hybrid force position control algorithm is proposed to control the robot grinding force. (2) aiming at the external force interference and surface polishing in the process of robot grinding and polishing, The variable parameter PID control method and the vector normal potential hybrid control algorithm are proposed respectively. According to the parameter variation model of PID controller, a PID controller with variable control parameters is established to improve the ability of robot to control grinding force and resist external force interference during grinding and polishing process. By analyzing the surface model and the principle of surface tracking control, a hybrid force control algorithm based on vector method is proposed to realize multi-dimensional force control and surface tracking of robot. (3) the hybrid force position control algorithm is simulated in MATLAB and Adams simulation environment. By verifying the variable parameter PID control algorithm in MATLAB, it is shown that the terminal force stabilizes in 0.8 s when the external force interferes, while the multidimensional force stabilizes within 1 s when the vector control algorithm is used. In the joint simulation experiment of MATLAB and Adams, the end force is stable in 0.8s and has the effect of surface tracking. The two control algorithms are verified. (4) the verification experiment of the hybrid control algorithm is designed. It is verified that the variable parameter PID is 70% higher than that of the conventional PID, while the robot can maintain a stable state when the multi-dimensional force is disturbed by the external force. By analyzing the change of experimental curve, it is proved that the proposed control algorithm achieves the desired control effect.
【學(xué)位授予單位】:南京航空航天大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TP242
[Abstract]:With the development of intelligent manufacturing, robots are used more and more in grinding and polishing. In the process of robot polishing, it is very important to control the grinding force and improve the polishing quality. Therefore, the control algorithm of robot grinding force is studied in this paper. (1) by analyzing the force of workpiece in the grinding process, it is concluded that the normal force of grinding time is constant force to control the polishing quality. Combined with the advantages and disadvantages of two active compliance control algorithms, a hybrid force position control algorithm is proposed to control the robot grinding force. (2) aiming at the external force interference and surface polishing in the process of robot grinding and polishing, The variable parameter PID control method and the vector normal potential hybrid control algorithm are proposed respectively. According to the parameter variation model of PID controller, a PID controller with variable control parameters is established to improve the ability of robot to control grinding force and resist external force interference during grinding and polishing process. By analyzing the surface model and the principle of surface tracking control, a hybrid force control algorithm based on vector method is proposed to realize multi-dimensional force control and surface tracking of robot. (3) the hybrid force position control algorithm is simulated in MATLAB and Adams simulation environment. By verifying the variable parameter PID control algorithm in MATLAB, it is shown that the terminal force stabilizes in 0.8 s when the external force interferes, while the multidimensional force stabilizes within 1 s when the vector control algorithm is used. In the joint simulation experiment of MATLAB and Adams, the end force is stable in 0.8s and has the effect of surface tracking. The two control algorithms are verified. (4) the verification experiment of the hybrid control algorithm is designed. It is verified that the variable parameter PID is 70% higher than that of the conventional PID, while the robot can maintain a stable state when the multi-dimensional force is disturbed by the external force. By analyzing the change of experimental curve, it is proved that the proposed control algorithm achieves the desired control effect.
【學(xué)位授予單位】:南京航空航天大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TP242
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 張海洋;楊文玉;張家軍;陳巍;;葉片機(jī)器人砂帶磨拋的軌跡規(guī)劃研究[J];機(jī)電工程;2014年05期
2 王智興;樊文欣;張保成;史源源;;基于Matlab的工業(yè)機(jī)器人運(yùn)動(dòng)學(xué)分析與仿真[J];機(jī)電工程;2012年01期
3 齊立哲;甘中學(xué);孫云權(quán);湯青;,
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