2017
DOI: 10.31963/intek.v4i1.94
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Design Controller of Pendulum System using Imperialist Competitive Algorithm

Abstract: Abstract-Due to development of technology in recent years, complexity and nonlinearity of mechanical and electrical system are increasing significantly. Inverted pendulum is nonlinear system that has become popular in recent years. However, inverted pendulum is nonlinear and unstable system. Therefore appropriate design controller of inverted pendulum system is crucial. Hence, this paper proposed, design of inverted pendulum system based on imperialist competitive algorithm (ICA). In order to design the contro… Show more

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Cited by 5 publications
(10 citation statements)
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“…The ICA algorithm will work based on Objective Function, which minimizes Integral Time Absolute Error (ITAE). Implementation of ICA has also been widely used because the results are very optimal in doing the computation process, some of these studies [8] for Power System Stabilizer, [9] for pendulum control. …”
Section: Introductionmentioning
confidence: 99%
“…The ICA algorithm will work based on Objective Function, which minimizes Integral Time Absolute Error (ITAE). Implementation of ICA has also been widely used because the results are very optimal in doing the computation process, some of these studies [8] for Power System Stabilizer, [9] for pendulum control. …”
Section: Introductionmentioning
confidence: 99%
“…2 shows the block diagram of the relationship between the error signal and the magnitude of integral output. The error signal consists of the reference signal and the actual signal [10,13]. Derivative controller output has the same properties as derivatives operations.…”
Section: B Pid Controllermentioning
confidence: 99%
“…Fig. 3 illustrates the block diagram of the relationship between the error signals to the controller output [10,13]. Each of the disadvantages and advantages of the proportional, integral and derivative controller can be handled by combining all three in parallel connection.…”
Section: B Pid Controllermentioning
confidence: 99%
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