Abstract
Common applications involved hydraulic system in real-time including heavy machinery, air-craft system, and transportation. Real-time applications, however, are notorious to suffered with nonlinearities due to unavoidable mechanical structures. Thus, control system engaged to manipulate and minimize the effect resulting from the nonlinearities. In this paper, few control approaches are executed in the Electro-Hydraulic Actuator (EHA) system. The control approaches including the generally used Proportional-Integral-Derivative (PID) controller, the reinforced Fractional-Order (FO) PID controller, the Sliding Mode Controller (SMC), and the enhanced hybrid SMC-PID controller. In order to obtain proper parameter of each controller, the Particle Swarm Optimization (PSO) technique is applied. The output data are then analysed based on the performance indices in terms of the consumption of the energy and the error produced. The performance indices including Root Mean Square Error/Voltage (RMSE/V), Integral Square Error/Voltage (ISE/V), Integral Time Square Error/Voltage (ITSE/V), Integral Absolute Error/Voltage (IAE/V), and Integral Time Absolute Error/Voltage (ITAE/V). It is observed in the results, based on the performance indices in terms of error and voltage, the hybrid SMC-PID capable of generating better outcomes with reference to tracking capabilities and energy usage.
Highlights
The behavior of a system in industrial sector is highly connected with the control system that manage and manipulated the end function of particular machineries
By merging the PID controller in the conventional sliding minimize the chattering effect. The usw for both surface design, following expression is obtained with the gains conventional Sliding Mode Control (SMC) and SMC-PID controller can be obtained in of PID controller Kp, Ki and Kd
The SMC-PID is apparently outstanding with fastest response or rise time. This effect might be due to the increment of the numbers of gains in the SMC-PID controller
Summary
The behavior of a system in industrial sector is highly connected with the control system that manage and manipulated the end function of particular machineries Practical mechanical machineries such as Electro-Hydraulic Actuator (EHA) system, commonly undergoes the well-known uncertainties and nonlinearities characteristics [1]. Computer based tuning approaches including Particle Swarm Optimization (PSO), Gravitational Search Algorithm (GSA), and Genetic Algorithm (GA) have been gradually attract the attention of the control field due to their prominent performance in searching for the controller’s optimal parameter [13,14,15] It is noticed in the literature, EHA system is mostly executed in positioning control.
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More From: International Journal of Advanced Computer Science and Applications
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