2012
DOI: 10.1002/tal.1055
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Optimal control of structures under earthquake excitation based on the colonial competitive algorithm

Abstract: The active control of engineering structures is one of the best methods to reduce structural responses under seismic excitation for the best performance of structures. This study presents an effective approach for the optimal control of structures under strong ground motion using the colonial competitive algorithm. The colonial competitive algorithm was developed over the last few years in an attempt to overcome the inherent limitations of traditional optimize method. The colonial competitive algorithm has bee… Show more

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Cited by 6 publications
(3 citation statements)
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References 29 publications
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“…In the study, several control algorithms-including decentralized bang-bang controller, Lyapunov controller, modulated homogeneous friction controller, maximum energy dissipation controller, and clipped-optimal controller-are used for validation purposes; Chae et al [2012] evaluated four different semi-active control algorithms (LQR, SMC, DBB, and PAC) in the controlled seismic response of a 3-storey steel frame building using large-scale MR dampers. Is it worth noting that the performance of control strategies based on new control algorithms is usually compared against LQG and LQR algorithms [Amini and Bagheri, 2012;Bagheri and Amini, 2013;Bitaraf et al, 2012;Ozbulut et al, 2011]. Nevertheless, LQR control algorithms are based on full-state feedback, i.e., including the displacements and velocities.…”
Section: Control Algorithms Improved By Selective Feedbackmentioning
confidence: 99%
“…In the study, several control algorithms-including decentralized bang-bang controller, Lyapunov controller, modulated homogeneous friction controller, maximum energy dissipation controller, and clipped-optimal controller-are used for validation purposes; Chae et al [2012] evaluated four different semi-active control algorithms (LQR, SMC, DBB, and PAC) in the controlled seismic response of a 3-storey steel frame building using large-scale MR dampers. Is it worth noting that the performance of control strategies based on new control algorithms is usually compared against LQG and LQR algorithms [Amini and Bagheri, 2012;Bagheri and Amini, 2013;Bitaraf et al, 2012;Ozbulut et al, 2011]. Nevertheless, LQR control algorithms are based on full-state feedback, i.e., including the displacements and velocities.…”
Section: Control Algorithms Improved By Selective Feedbackmentioning
confidence: 99%
“…Like other optimization methods, the optimum solution is found through an iterative process. Readers can find more information about this optimization algorithm in (Atashpaz-Gargari and Lucas, 2007;Bagheri et al, 2012;Amini and Bagheri, 2014;Bagheri et al, 2014).…”
Section: Objective Functionmentioning
confidence: 99%
“…@U wQ}v p=ta= |=yQ= R@= C}iQ_ C}OwOLt w |O=YDk= C=_Lqt sDU}U |=yMU=B w Cq=L C}OwOLt '|vt}= C=_Lqt w OwW|t |rQDvm |SQv= QO w swO |x@DQt OQmrta XN=W l} h} QaD =@ xv}y@ pQDvm QO "OwW|t Ea=@ = Q QU}t sDU}U |}=Q=m w pQDvm |xv}Ry u}@ pO=aD |Q= QkQ@ u=mt= 'u; |R=Uxv}y@ C=m}QLD QF= |x_Lqt uwO@ xOW Qm P |xvR=wt 'LQR l}Uqm VwQ QO "OwW|t [4w3] "OwW|t s=Hv= pQDvm |=ywQ}v |x@U=Lt w OQmrta XN=W |R=Uxv}y@ QO xrRrR uDN=U xv}tm QO xOW xDiQo Q=mx@ |R=Uxv}y@ |=yVwQ C}OwOLt p}rO x@ u}vJty , qta xm OwW|t p=ta= VwQ u}= |Ov@pwtQi QO |}=y|R=UxO=U 'OQmrta XN=W |=yVwQ |Ovtv=wD x@ xHwD =@ "OwW|t TQDUO R= QwO xv}y@ |=yMU=B x@ |@=}CUO p=Ut =@ xyH=wt QO 6 |Ww=m = Qi |=ysD}Qwor= Q}_v 5 QwLtC}atH |R=Uxv}y@ QO =yu; |}=Q=m |xar=]t w QwmPt |=yVwQ p=ta= x@ R=}v '|R=Uxv}y@ |xO}J}B |Q}oxQy@ |xv}tR QO uwvm=D xm |D=ar=]t "CU= TwULt =yxR=U p=ai pQDvm |xv}tR |xv}tR QO QDW}@ 'CU= xOW s=Hv= =yxR=U pQDvm QO |Ww=m = Qi |=ysD}Qwor= R= |=ylQLt |xv}y@ u=mt w O=OaD [6w5] 'p=aiQ}e |=yQo= Q}t C=YNWt |R=Uxv}y@ |wQ}v |xv}y@ Q}O=kt [108] '|vRw |=yT}QD=t ?=NDv= w s}_vD [7] 'p=ai pQDvm sDU}U |R=Uxv}y@ w xOw@ [12w11] """ w ?=DW 'u=mtQ}}eD Q}_v [16] "CU= xOW O=yvW}B pQDvm |DvU |=ysD}Qwor= w l}DvS sD} Qwor= '|awvYt sD} Qwor= w LQR l}Uqm pQDvm VwQ ? }mQD =@ R}v |v} wv pQDvm sD} Qwor= CU= xOW x=Q= [12] '2013 p=U QO |}xar=]t QO 12 wor= |wHDUH |R=Uxv}y@ 'lHwt p}O@D \UwD |awvYt CN=wvm} Q]N K]U |xrRrR |x}RHD R= TB xm wor= |wHDUH VwQ \UwD |Uv=mQi Ov=@ Qy QO pQDvm |xQy@ T} QD=t QY=va |R=Uxv}y@ hOy =@ |Q=taDU= C@=kQ sD} Qwor= R= xO=iDU= u}vJty "Ov=xOW |UQQ@ p=U QO |Qo}O |xar=]t QO pQDvm |xQy@ T} QD=t QY=va uDi=} |= Q@ pQDvm |=ywQ}v QO uwvm=D |Q=taDU= C@=kQ |R=Uxv}y@ sD} Qwor= "CU= xOW xO=iDU= [11] '2014 [17] '|}=BQN |=yxR=U |xv}y@ |L=Q] QO xrtH R= u= Qta |UOvyt hrDNt |=yxv}tR [19] '|}xQ] u=@yov |=yQ=w}O |L=Q] |xv}Ry |@=}xv}y@ [18] '=yxR=U QO |@=}? }a =yxR=U p=ai pQDvm xS}wx@ =yxR=U pQDvm |xv}tR QO =t= 'CU= xOW xO=iDU= """ w "CU= xOWv xO=iDU= Ovtv=wD VwQ u}= |=yC}r@=k R= uwvm=D p}O@D R= xO=iDU= =@ …”
mentioning
confidence: 99%