Optimization of Modified Sliding Mode Controller for an Electro-hydraulic Actuator System with Mismatched Disturbance

Othman, Siti Marhainis; Rahmat, M. F.; Rozali, Sahazati Md.; Has, Zulfatman; Abidin, Amar Faiz Zainal

doi:10.11591/ijece.v8i4.pp2148-2156

Cited by 9 publications

(7 citation statements)

References 14 publications

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“…MSMC is known to help the system track a shaped square wave signal. The references trajectory and the value of external disturbance, 10500 N which was used in this study is similar to that of [18] and [19].…”

Section: Simulation Results and Comparisonsmentioning

confidence: 99%

Optimization of Modified Sliding Mode Control for an Electro-Hydraulic Actuator System with Mismatched Disturbance

Rahmat¹,

Othman²,

Rozali³

et al. 2018

EECSI

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This paper presents a modified sliding mode controller (MSMC) for tracking purpose of electro-hydraulic actuator system with mismatched disturbance. The main contribution of this study is in attempting to find the optimal tuning of sliding surface parameters in the MSMC using a hybrid algorithm of particle swarm optimization (PSO) and gravitational search algorithms (GSA), in order to produce the best system performance and reduce the chattering effects. In this regard, Sum square error (SSE) has been used as the objective function of the hybrid algorithm. The performance was evaluated based on the tracking error identified between reference input and the system output. In addition, the efficiency of the designed controller was verified within a simulation environment under various values of external disturbances. Upon drawing a comparison of PSOGSA with PSO and GSA alone, it was learnt that the proposed controller MSMC, which had been integrated with PSOGSA was capable of performing more efficiently in trajectory control and was able to reduce the chattering effects of MSMC significantly compared to MSMC-PSO and MSMC-GSA, respectively when the highest external disturbance, 10500N being injected into the system's actuator.

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Section: Simulation Results and Comparisonsmentioning

confidence: 99%

Optimization of Modified Sliding Mode Control for an Electro-Hydraulic Actuator System with Mismatched Disturbance

Rahmat¹,

Othman²,

Rozali³

et al. 2018

EECSI

Self Cite

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“…Each agent considered as an applicant arrangement after initialization, Gravitational power, gravitational steady, and resultant powers among specialists are determined, from that point forward, the increasing speeds of particles are characterized [23]. In every cycle and the best solution so far will be updated, then the velocities of all agents will be determined with the position as well finally the process of updating velocities and positions will be stopped by meeting an end criterion [24,25]…”

Section: Psogsa Algorithmmentioning

confidence: 99%

Optimization of PID for industrial electro-hydraulic actuator using PSOGSA

et al. 2019

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The Electro-hydraulic actuator (EHA) systems known to be extremely nonlinear due to its dynamic characteristics and these existing nonlinearities and uncertainties yield to the constraint in the control of EHA system, which influences the position tracking accuracy and affect the occurrences of leakage and friction in the system. The purpose of this work is to develop the mathematical model for the industrial electrohydraulic actuator, then to design a controller by proportional-integral-derivative (PID) and optimize the parameters using Particle Swarm Optimization-Gravitational Search Algorithm (PSOGSA). A few controllers such as conventional PID (CPID) and model reference adaptive control (MRAC) designed for comparison. The performance of PID, PID-PSOGSA and modern controller MRAC will be compared in order to determine the most efficient controller. Despite all controllers are capable to provide good performance, PID-PSOGSA control methods generate good response compared to PID and MRAC in term of positioning.

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“…Another famous robust nonlinear controller, which is the sliding mode controller (SMC) has been extensively applied in the control of various engineering applications [18][19][20], and also in the EHA system [21][22][23][24]. With the integration of the computational tuning method, including particle Swarm Optimization (PSO) [25,26], Gravitational Search Algorithm (GSA) [27], Genetic Algorithm [28] the SMC is proven to outperform than the SMC with no proper tuning technique in the acquirement of the controller's gains.…”

Section: Performance Evaluation Of Fractional Order Pid and Sliding Mmentioning

confidence: 99%

Performance Evaluation of Fractional Order Pid and Sliding Mode Control with Optimization Tuning Access

2019

IJRTE

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The statistical analyses in the past showing the important properties of the electrohydraulic actuator (EHA) system, especially in the growth of the world economy. Dealing with the existing drawback in the EHA system, various types of control schemes have been introduced in the past. In this paper, to produce a more insightful view of the performance and the capabilities of the controller, three different types of controllers have been designed and compared. The favourite controller in the industry field, which is the proportional-integral-derivative (PID) controller will be first introduced. Follow by the improved PID controller, named Fractional Order (FO-PID) controller will be designed. Then, the prominent robust controller in the control field, called sliding mode controller (SMC) will be established. Instead of obtaining the controller’s parameters without any appropriate technique, the well-known tuning technique in computer science, named particle swarm optimization (PSO) will be utilized. Referring to the performances produced by these controllers, it can be concluded that the SMC is capable to generate most desired control performance that produced the highest accuracy with the smallest error in the analyses.

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Optimization of Modified Sliding Mode Controller for an Electro-hydraulic Actuator System with Mismatched Disturbance

Cited by 9 publications

References 14 publications

Optimization of Modified Sliding Mode Control for an Electro-Hydraulic Actuator System with Mismatched Disturbance

Optimization of Modified Sliding Mode Control for an Electro-Hydraulic Actuator System with Mismatched Disturbance

Optimization of PID for industrial electro-hydraulic actuator using PSOGSA

Performance Evaluation of Fractional Order Pid and Sliding Mode Control with Optimization Tuning Access

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