Observer-Based Optimal Position Control for Electrohydraulic Steer-by-Wire System Using Gray-Box System Identified Model

Aly, Mohamed; Roman, Magdy Raouf; Rabie, M. G.; Shaaban, S.

doi:10.1115/1.4037164

Cited by 12 publications

(5 citation statements)

References 28 publications

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“…A second-order model for the proportional valve was developed based on datasheet data and tests done on the valve. Both the valve Spool and the feedback OBE sensor can be represented as a first-order system so the overall closed-loop transfer function of the proportional solenoid can be approximated as a linear model of the second-order as seen in [14] as shown in Figure 4. The dynamic behavior of the electromechanical converter and the spool valve can be identified with a linear second-order model between the reference volt V ref and the slide valve position , as indicated in equation ( 1)…”

Section: Proportional Valve Modelmentioning

confidence: 99%

Development and Testing of Electro Hydraulic Wave Energy Simulator

Gomaa

Aly

Mahmoud

2021

Engineering Research Journal

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The present work focuses on developing an experimental system that can generate mechanical simulation movement to the real waves. This developed system will facilitate the researchers within the lab testing unit for evaluating any developed point absorber WEC. Mathematical modeling, construction, and testing of Electro-Hydraulic Wave Simulator that emulates different waveforms are presented. This system provides a realistic way of testing replacing the more expensive methods used to test WECs such as large indoor water tanks or real sea. A low-speed oscillation motion with higher torque is successfully produced by the developed system that is coupled to an electrical generator with a grid frequency. Finally, the model is being validated with experimental data to evaluate model accuracy, where a maximum error of ±0.2% is achieved. A response time of 0.004 s was achieved by the valve model which matched with the manufacturer datasheet. The simulated cylinder position gives a good agreement with the measured position for a step input of 50 cm with a position error of less than 10 mm.

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Section: Proportional Valve Modelmentioning

confidence: 99%

Development and Testing of Electro Hydraulic Wave Energy Simulator

Gomaa

Aly

Mahmoud

2021

Engineering Research Journal

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“…Other controllers being studied and proposed to control the EHSA system include the Linear Quadratic Regulator (LQR) controller [11][12][13], the Optimal controller [14], the PI controller [15], the modified PI-D controller [16][17], the backstepping controller [18,19], the predictive controller [20][21][22], and the Sliding Mode Controller (SMC) [23][24][25][26]. Nonetheless, the SMC controller has been demonstrated to be the most effective controller for controlling nonlinear systems such as the EHSA system [27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Control Algorithm Sliding Mode-PID for an Electrohydraulic Servo Actuator System Based on Particle Swarm Optimization Technique

Fadel¹

2023

JESA

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The Electro-Hydraulic Servo Actuators (EHSA) use the technology of the integration between hydraulic and electrical systems. These Actuators are widely used in many modern control systems including aircraft and missile flight control systems which can produce a rapid response, high power-to-weight ratio, and large stiffness. However, the nonlinearity of the EHSA systems has an impact on their accuracy and motion control. In this paper, a hybrid control algorithm sliding mode-PID (SMCPID) controller is designed based on the Particle Swarm Optimization (PSO) technique to maintain or enhance the performance of the utilized controller and reduce the chattering phenomena. First, a detailed non-linear mathematical model of the EHSA is developed and a computer simulation program is built using MATLAB/SIMULINK package. Then, three types of control strategies are designed and studied: PID, SMC, and hybrid SMCPID controllers. The optimization of the parameters of the PID controller and the variables of the SMC and hybrid SMCPID controllers is presented by using the PSO technique. The SMC control strategy is developed from the derived dynamic equation, whose stability is demonstrated by the Lyapunov theorem. Finally, in order to ensure the effectiveness of the optimized controllers, a comparative simulation study between the three types of controllers is presented where the root mean square error (RMS) values, and overshoot percentage (O.S %) are calculated and act as the performance indexes for comparison purposes. The simulation results show that the proposed hybrid SMCPID controller tuned by the PSO technique outperforms the PID and SMC controllers in terms of overall performance.

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“…Several types of control approaches had been proposed by researchers to control the nonlinear EHA system, such as linear quadratic regulator [6][7][8], PID controller [9][10][11], model predictive controller [12][13][14], backstepping controller [15][16][17], sliding mode controller [18][19][20][21], and other hybrid controllers [22][23][24]. However, the PID controller is still the main choice for industrial applications due to its fast design process, simple structure, and robust control performance [25].…”

Section: Introductionmentioning

confidence: 99%

The Effects of Weightage Values with Two Objective Functions in iPSO for Electro-Hydraulic Actuator System

Chai

Ghazali

Horng

et al. 2021

ARFMTS

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In this paper, the Proportional-Integral-Derivative (PID) controller with improved Particle Swarm Optimization (iPSO) algorithm is proposed for the positioning control of nonlinear Electro-Hydraulic Actuator (EHA) system. PID controller is chosen to control the EHA system due to its popularity in industrial applications. The PID controller parameters will be tuned by using the iPSO algorithm to get the lowest overshoot percentage and steady-state error. The conventional PSO algorithm has only one objective function to get the optimum parameters. However, this is not enough to increase the control performance of the EHA system. Therefore, an improved Particle Swarm Optimization (iPSO) that includes the mean error and overshoot percentage as the two objective functions is proposed in this paper. The most popular method in PSO that included two objective functions is Linear Weight Summation (LWS). In this method, the two objective functions are combined with certain weightage into one equation to give the best control performance. This paper focuses on determining the suitable weightage between these two objective functions so that the EHA system can produce the best control performance with less overshoot and less error. Overshoot percentage and steady-state error are used to indicate the best control performance. The results showed that EHA system can perform better by using suitable weightage between the mean error and overshoot percentage.

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Observer-Based Optimal Position Control for Electrohydraulic Steer-by-Wire System Using Gray-Box System Identified Model

Cited by 12 publications

References 28 publications

Development and Testing of Electro Hydraulic Wave Energy Simulator

Development and Testing of Electro Hydraulic Wave Energy Simulator

Hybrid Control Algorithm Sliding Mode-PID for an Electrohydraulic Servo Actuator System Based on Particle Swarm Optimization Technique

The Effects of Weightage Values with Two Objective Functions in iPSO for Electro-Hydraulic Actuator System

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