Position control of nonlinear hydraulic system using an improved PSO based PID controller

Ye, Yi; Yin, Chenbo; Gong, Yue; Zhou, Jie

doi:10.1016/j.ymssp.2016.06.010

Cited by 139 publications

(70 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this section, the ACF-DSC strategy is designed for the VP-EHS (7). Firstly, a FLS is designed to approximate and compensate the unknown nonlinear function f 2 (x 2 ) in (7). Secondly, the DSC technique is utilized to design the model-based nonlinear controller for the VP-EHS.…”

Section: Adaptive Composite Fuzzy Dynamic Surface Controller Designmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive Composite Fuzzy Dynamic Surface Control for Electro‐Hydraulic‐System, with Variable‐Supply‐Pressure

Guo

Shi

Wang

2018

Asian Journal of Control

View full text Add to dashboard Cite

This paper presents a novel adaptive composite fuzzy dynamic surface controller for a variable-supply-pressure electro-hydraulic-system in the presence of unknown nonlinear friction effects. To avoid analytic calculation, command filters are utilized to produce certain virtual controllers and their derivatives. A fuzzy logic system is designed to approximate and compensate the unknown nonlinear friction influences of the electro-hydraulic-system. To achieve a precise approximation, the prediction error of a designed serial-parallel estimation model and the compensated tracking error are both used to develop the composite adaptive law. Comparative simulation and experimental results are obtained to verify the effectiveness of the proposed control method.

show abstract

Section: Adaptive Composite Fuzzy Dynamic Surface Controller Designmentioning

confidence: 99%

“…where ε is any positive constant Consequently, according to Lemma 1 and Assumption 2, f z (x 2 ) would be utilized to approximate and compensate the unknown nonlinear function f 2 (x 2 ) in the VP-EHS (7). Furthermore, an optimal parameter vector θ * is given as…”

Section: Fuzzy Logic System Designmentioning

confidence: 99%

Adaptive Composite Fuzzy Dynamic Surface Control for Electro‐Hydraulic‐System, with Variable‐Supply‐Pressure

Guo

Shi

Wang

2018

Asian Journal of Control

View full text Add to dashboard Cite

show abstract

“…A mechanical system can be evaluated and optimized using a multidisciplinary cosimulation platform that considers the structural kinematics and dynamics, hydraulic system, structural strength, control system, and other aspects [32][33][34][35][36][37][38][39]. Zhao et al [32] proposed a consensus predictive control protocol and a simplified hydraulic mechanism of a 360 MN extrusion machine and illustrated their validity with an ADAMS-EASY5 cosimulation platform.…”

Section: Introductionmentioning

confidence: 99%

“…Zhao et al [32] proposed a consensus predictive control protocol and a simplified hydraulic mechanism of a 360 MN extrusion machine and illustrated their validity with an ADAMS-EASY5 cosimulation platform. Ye et al [33] developed a cosimulation platform by using AMESim and MATLAB/Simulink to evaluate the performance of the proposed PID tuning method of a valve-controlled cylinder system employed in a hydraulic excavator. Zhang et al [34] built a cosimulation model using MATLAB/Simulink and ADAMS to verify the proposed control strategy for a double shaking table system.…”

Section: Introductionmentioning

confidence: 99%

A Control Method of High Impact Energy and Cosimulation in Powder High-Velocity Compaction

You

Liu

Guan

et al. 2018

Advances in Materials Science and Engineering

View full text Add to dashboard Cite

To enhance the impact energy of powder high-velocity compaction (HVC) and thus improve the green density and mechanical properties of the resulting compacts, a mechanical energy storage method using combination disc springs is proposed. e high impact energy is achieved by modifying existing equipment, and the hydraulic control system is developed to implement the automatic control of the energy produced from the disc springs. An interdisciplinary cosimulation platform is established using the ADAMS, AMESim, and LabVIEW software packages to perform the interactive control of the simulation process and the realtime feedback of the simulation results. A mechanical-hydraulic cosimulation of the energy control virtual prototype of the testing machine is conducted using this platform. e influence of the impact energy on the green density is studied according to the HVC experimental results of the iron-based powders, and then, the green compact with the higher relative density is produced. e experimental results indicate that the energy enhancement method using the combination disc springs is reasonable and that the hydraulic control scheme is reliable.

show abstract

“…Coelho et al presented an adaptive cascade controller using differential evolution optimization [17]. Ye et al developed an improved particle swarm optimization algorithm for a PID controller [18]. Guo et al proposed a state feedback control based on a disturbance observer coupled with backstepping [19].…”

Section: Introductionmentioning

confidence: 99%

Model and Simulation Analysis of a High Speed Hydraulic System in a Fineblanking Press

Yi¹,

Feng²

2018

dtetr

View full text Add to dashboard Cite

Abstract. As a key component of a hydraulic fineblanking press, a high speed hydraulic system is used to achieve the rapid movement of the slider in the noncutting stage, which is important for improving the processing efficiency. It is important to study the various properties of a high speed hydraulic system as the rapid movement affects the precision of the machine as well as the quality of the stamping parts. In this paper, a high speed hydraulic system model was established, and the static and dynamic characteristics of the key components in the system were simulated and analyzed. The system control logic was designed according to the blanking process, and the changes in the speed, displacement, pressure and flow of the high speed cylinder in the blanking process were analyzed. A strategy using PID feedback control of the system was proposed to improve the blanking precision and provide a reliable basis for the control system design.

show abstract

Position control of nonlinear hydraulic system using an improved PSO based PID controller

Cited by 139 publications

References 51 publications

Adaptive Composite Fuzzy Dynamic Surface Control for Electro‐Hydraulic‐System, with Variable‐Supply‐Pressure

Adaptive Composite Fuzzy Dynamic Surface Control for Electro‐Hydraulic‐System, with Variable‐Supply‐Pressure

A Control Method of High Impact Energy and Cosimulation in Powder High-Velocity Compaction

Model and Simulation Analysis of a High Speed Hydraulic System in a Fineblanking Press

Contact Info

Product

Resources

About