The Effects of Pressure Variation in Sliding Mode Controller with Optimized PID Sliding Surface

Soon, Chong Chee; Ghazali, Rozaimi; Zaafar, Hazriq Izzuan; Rozali, Sahazati Md.; Sam, Yahaya Md; Rahmat, M. F.

doi:10.1007/978-981-10-6502-6_9

Cited by 2 publications

(2 citation statements)

References 24 publications

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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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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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“…In the previous works, there are many type of control techniques have been reported, which can be utilized to control the tracking capability of a nonlinear electrohydraulic actuator system. Each of the control techniques required a proper tuning technique and some of the advanced tuning techniques have been reported recently such as Particle Swarm Optimization (PSO) [13][14][15][16][17][18], Genetic Algorithm (GA) [19][20][21], and Differential Evolution (DE) [22,23].…”

Section: Introductionmentioning

confidence: 99%

An Electro-Hydraulic Servo with Intelligent Control Strategy

Mohammed

Soon

Ghazali

et al. 2018

MATEC Web of Conferences

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Abstract. Versatile engineering applications have been developed to assist, reduce, and avoid human being from any heavy or harmful manufacturing processes. The gradually increased demand in force and position controls have simultaneously increased the usage of Electro-Hydraulic Servo (EHS) system. However, the time varying characteristics such as high-speed, outburst starting and stopping dynamic have led the EHS system to suffer from uncertainties and nonlinearities effects. Therefore, in order to enhance the performance of an EHS to surmount the uncertain and nonlinear effects, a hybrid Fuzzy-PID control strategy is developed which particularly improve the accuracy of the system by enhancing the control performance during the positioning tracking. By measuring the performance of the proposed control approach, the transient response and steady-state analysis will be performed which taking linear and intelligent control strategies as the references in the assessment process. The finding indicates the capability of a hybrid Fuzzy-PID controller in reducing the control effort applied to the EHS system.

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The Effects of Pressure Variation in Sliding Mode Controller with Optimized PID Sliding Surface

Cited by 2 publications

References 24 publications

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

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

An Electro-Hydraulic Servo with Intelligent Control Strategy

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