MPC Control and LQ Optimal Control of A Two-Link Robot Arm: A Comparative Study†

dc.contributor.authorZennir Youcef
dc.date.accessioned2024-06-02T14:02:05Z
dc.date.available2024-06-02T14:02:05Z
dc.date.issued2018-08-17
dc.description.abstractThis study examined the control of a planar two-link robot arm. The control approach design was based on the dynamic model of the robot. The mathematical model of the system was nonlinear, and thus a feedback linearization control was first proposed to obtain a linear system for which a model predictive control (MPC) was developed. The MPC control parameters were obtained analytically by minimizing a cost function. In addition, a simulation study was done comparing the proposed MPC control approach, the linear quadratic (LQ) control based on the same feedback linearization, and a control approach proposed in the literature for the same problem. The results showed the efficiency of the proposed method.
dc.identifier.other6030037
dc.identifier.urihttp://dspace.univ-skikda.dz:4000/handle/123456789/1946
dc.language.isoen
dc.publisherMachines Journals. Machines 2018, 6, 37; doi:10.3390.pp 01-14
dc.titleMPC Control and LQ Optimal Control of A Two-Link Robot Arm: A Comparative Study†
dc.typeArticle
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