Optimization Of Sliding Mode Control Using Particle Swarm Algorithm For An Electro-Hydraulic Actuator System
The dynamic parts of electro-hydraulic actuator(EHA) system are widely applied in the industrial field for the process that exposed to the motion control.In order to achieve accurate motion produced by these dynamic parts,an appropriate controller will be needed.However,the EHA system is well know...
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Teknikal Malaysia Melaka
2016
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| Online Access: | http://eprints.utem.edu.my/id/eprint/20840/2/20161001_JTEC_Chong2.pdf http://eprints.utem.edu.my/id/eprint/20840/ http://journal.utem.edu.my/index.php/jtec/article/view/1282 https://journal.utem.edu.my/index.php/jtec/article/view/1282/773 |
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| Summary: | The dynamic parts of electro-hydraulic actuator(EHA) system are widely applied in the industrial field for the process that exposed to the motion control.In order to achieve
accurate motion produced by these dynamic parts,an appropriate controller will be needed.However,the EHA system
is well known to be nonlinear in nature.A great challenge is
carried out in the EHA system modelling and the controller
development due to its nonlinear characteristic and system
complexity.An appropriate controller with proper controller
parameters will be needed in order to maintain or enhance the performance of the utilized controller.This paper presents the optimization on the variables of sliding mode control (SMC) by using Particle Swarm Optimization (PSO) algorithm.The control scheme is established from the derived dynamic equation which stability is proven through Lyapunov theorem.From the obtained simulation results,it can be clearly inferred that the SMC controller variables tuning through PSO algorithm performed better compared with the conventional proportionalintegral-derivative (PID) controller. |
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