Research on control strategy of asymmetric electro-hydraulic servo system based on improved PSO algorithm

Ma, Yu; Gu, Lichen; Xu, Ying-Ge; Shi, Lichen; Wang, Haitao

doi:10.1177/16878132221096226

Cited by 6 publications

(3 citation statements)

References 17 publications

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“…Gmili et al [24] combined the Cuckoo algorithm and PSO algorithm to improve the PSO algorithm's local optimization capability. Ma et al [25] incorporated crossover and mutation operations into the PSO algorithm, thereby integrating the concept of the Genetic algorithm and enhancing the PSO algorithm's optimization capability.…”

Section: Of 21mentioning

confidence: 99%

Design of Anti-Swing PID Controller for Bridge Crane Based on PSO and SA Algorithm

Hui

Qiao

et al. 2022

Electronics

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Since the swing of the lifting load and the positioning of the trolley during the operation of a bridge crane seriously affect the safety and reliability of its work, we have not only designed Proportional Integral Derivative (PID) controllers for the anti-swing and positioning control but also proposed a hybrid Particle Swarm Optimization (PSO) and Simulated Annealing (SA) algorithm to optimize the gains of the controllers. In updating the PSO algorithm, a nonlinear adaptive method is utilized to update the inertia weight and learning coefficients, and the SA algorithm is also integrated when the PSO algorithm is searching for a global optimal solution, to reduce the probability of falling into the local optimal solution. The simulation results demonstrate that the PSO–SA algorithm proposed in this paper is prone to be a more effective method in searching for the optimal parameters for the controllers, compared with three other algorithms. As shown by the experimental results, the swing angle stabilization time of the novel algorithm is 6.9 s, while the values of the other algorithms range from 10.3 to 13.1 s under a common working condition. Simultaneously, the maximum swing angle of the novel algorithm is 7.8°, which is also better than the other algorithms.

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Section: Of 21mentioning

confidence: 99%

Design of Anti-Swing PID Controller for Bridge Crane Based on PSO and SA Algorithm

Hui

Qiao

et al. 2022

Electronics

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“…Electro-hydraulic servo system has the characteristics of strong bearing capacity, fast response speed and high control accuracy [1,2], which are widely used in various fields such as numerical control systems [3,4], vehicle hydraulic turbines [5], robots [6][7][8] and automobile suspensions [9]. EPSSVCS is an important type of electro-hydraulic servo system.…”

Section: Introductionmentioning

confidence: 99%

A backstepping sliding mode control algorithm of electro-hydraulic position servo system of valve-controlled symmetric cylinder based on extended state observer

Chen

2024

Mechanics & Industry

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Electro-hydraulic position servo system of valve-controlled symmetrical cylinder (EPSSVCS) is a very important and widely used electro-hydraulic servo system, the performance of which is often affected by friction nonlinearity and external random disturbances together with unmodeled dynamic factors such as parameter uncertainty in practical work. To improve the tracking performance of the system, a backstepping sliding mode control algorithm (BSMC) based on an extended state observer was presented in this paper. Firstly, a nonlinear mathematical model of the EPSSVCS was established which takes into account the composite disturbance induced by the systematic friction nonlinearity, external disturbances and unmodeled dynamic factors. Then, an extended state observer (ESO) was designed which can effectively estimate the velocity, acceleration, and composite disturbance of the valve-controlled cylinder online. Furthermore, a kind of BSMC was presented based on the online ESO estimates and the displacement feedback signals. The control law was given and the system stability was proved. The analysis results showed that the output signal of the system can effectively track the input signal under the influence of typical external disturbances and unmodeled dynamic factors, which illustrated the effectiveness of the established nonlinear mathematical model and the stability of the designed control system. Moreover, by taking the parameters of the electro-hydraulic servo system of a certain type of CNC machine tool as a real example, the proposed algorithm (BSMC) was compared with the conventional PID control algorithm, the backstepping sliding mode control algorithm (BSC), and the adaptive robust control algorithm (ARC), and the results verified the superiority of the BSMC. This work may provide a useful reference for the research in the field of related control systems.

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“…With the development of artificial intelligence science, the combination of artificial intelligence algorithms [ 31 , 32 , 33 ] and PID control algorithms has become the mainstream trend and Hao et al [ 34 ] proposed an improved particle swarm optimization for the trajectory tracking accuracy problem to optimize the proportional-integral differential (PID) controller coefficients of the PSO algorithm, which obtained high accuracy and fast convergence of the electro-hydraulic servo system; nevertheless, the problem of system lag and slow response exists. Fan [ 35 ] and Ma et al [ 36 ] improved the control performance by improving the objective evaluation function of the PSO algorithm, but the proposed objective evaluation function is too simple for the system performance index requirements, which may be ineffective or inefficient for processing complex signals, and has not been validated and tested in various situations. Guo et al [ 37 ] proposed a new objective evaluation function in genetic algorithm rectified PID with a penalty mechanism.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Hybrid Test Control Research Based on Improved Electro-Hydraulic Servo Displacement Algorithm

Shen

Guo

Zha

et al. 2023

Sensors

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Real-time hybrid testing (RTH) is a test method for dynamic loading performance evaluation of structures, which is divided into digital simulation and physical testing, but the integration of the two may lead to problems such as time lag, large errors, and slow response time. The electro-hydraulic servo displacement system, as the transmission system of the physical test structure, directly affects the operational performance of RTH. Improving the performance of the electro-hydraulic servo displacement control system has become the key to solving the problem of RTH. In this paper, the FF-PSO-PID algorithm is proposed to control the electro-hydraulic servo system in real-time hybrid testing (RTH), which uses the PSO algorithm to operate the optimized PID parameters and the feed-forward compensation algorithm to compensate the displacement. First, the mathematical model of the electro-hydraulic displacement servo system in RTH is presented and the actual parameters are determined. Then, the objective evaluation function of the PSO algorithm is proposed to optimize the PID parameters in the context of RTH operation, and a displacement feed-forward compensation algorithm is added for theoretical study. To verify the effectiveness of the method, joint simulations were performed in Matlab/Simulink to compare and test FF-PSO-PID, PSO-PID, and conventional PID (PID) under different input signals. The results show that the proposed FF-PSO-PID algorithm effectively improves the accuracy and response speed of the electro-hydraulic servo displacement system and solves the problems of RTH time lag, large error, and slow response.

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Research on control strategy of asymmetric electro-hydraulic servo system based on improved PSO algorithm

Cited by 6 publications

References 17 publications

Design of Anti-Swing PID Controller for Bridge Crane Based on PSO and SA Algorithm

Design of Anti-Swing PID Controller for Bridge Crane Based on PSO and SA Algorithm

A backstepping sliding mode control algorithm of electro-hydraulic position servo system of valve-controlled symmetric cylinder based on extended state observer

Real-Time Hybrid Test Control Research Based on Improved Electro-Hydraulic Servo Displacement Algorithm

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