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Application of Linear Model Predictive Control and Input-Output Linearization to Constrained Control of 3D Cable Robots

Application of Linear Model Predictive Control and Input-Output Linearization to Constrained Control of 3D Cable Robots
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摘要 Cable robots are structurally the same as parallel robots but with the basic difference that cables can only pull the platform and cannot push it. This feature makes control of cable robots a lot more challenging compared to parallel robots. This paper introduces a controller for cable robots under force constraint. The controller is based on input-output linearization and linear model predictive control. Performance of input-output linearizing (IOL) controllers suffers due to constraints on input and output variables. This problem is successfully tackled by augmenting IOL controllers with linear model predictive controller (LMPC). The effecttiveness of the proposed method is illustrated by numerical simulation. Cable robots are structurally the same as parallel robots but with the basic difference that cables can only pull the platform and cannot push it. This feature makes control of cable robots a lot more challenging compared to parallel robots. This paper introduces a controller for cable robots under force constraint. The controller is based on input-output linearization and linear model predictive control. Performance of input-output linearizing (IOL) controllers suffers due to constraints on input and output variables. This problem is successfully tackled by augmenting IOL controllers with linear model predictive controller (LMPC). The effecttiveness of the proposed method is illustrated by numerical simulation.
作者 Ali Ghasemi
机构地区 不详
出处 《Modern Mechanical Engineering》 2011年第2期69-76,共8页 现代机械工程(英文)
关键词 CABLE ROBOTS INPUT-OUTPUT LINEARIZATION Linear model PREDICTIVE Control Cable Robots Input-Output Linearization Linear model Predictive Control
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