Nothing Special   »   [go: up one dir, main page]

KOBAYASHI et al., 2014 - Google Patents

Displacement control of water hydraulic McKibben muscles with load compensation

KOBAYASHI et al., 2014

View PDF
Document ID
17893834453438499294
Author
KOBAYASHI W
ITO K
YAMAMOTO S
Publication year
Publication venue
JFPS International Journal of Fluid Power System

External Links

Snippet

First, model predictive control is introduced and its control performance is validated. However, the performance is degraded under loaded condition because the characteristics of the muscle are changed and the one-step-ahead estimation, which is used to generate …
Continue reading at www.jstage.jst.go.jp (PDF) (other versions)

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0205Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system

Similar Documents

Publication Publication Date Title
Xu Adaptive integral terminal third-order finite-time sliding-mode strategy for robust nanopositioning control
KOBAYASHI et al. Displacement control of water hydraulic McKibben muscles with load compensation
Chillari et al. An experimental comparison between several pneumatic position control methods
Milovanović et al. Adaptive PID control based on orthogonal endocrine neural networks
Pipan et al. Closed-loop volume flow control algorithm for fast switching pneumatic valves with PWM signal
Ghani et al. Improved third order PID sliding mode controller for electrohydraulic actuator tracking control
Han et al. Robust friction state observer and recurrent fuzzy neural network design for dynamic friction compensation with backstepping control
Liang et al. System identification and model predictive control using CVXGEN for electro-hydraulic actuator
Onder et al. RISE-based backstepping control design for an electro-hydraulic arm system with parametric uncertainties
Ghazali et al. Self-tuning control of an electro-hydraulic actuator system
Sun et al. Varying-order iterative learning control against perturbed initial conditions
Jie et al. Terminal sliding mode control with sliding perturbation observer for a hydraulic robot manipulator
Doležel et al. Piecewise-linear artificial neural networks for PID controller tuning
Lee et al. Practical implementation of a factorized all pass filtering technique for non-minimum phase models
Kobayashi et al. Displacement control of water hydraulic McKibben muscle with load compensation-application of model predictive control
Xie et al. Observer based control of piezoelectric actuators with classical Duhem modeled hysteresis
Muftah et al. Fractional-Order PI λ D μ Controller for Position Control of Intelligent Pneumatic Actuator (IPA) System
Tsuruhara et al. Model predictive displacement control tuning for tap-water-driven artificial muscle by inverse optimization with adaptive model matching and its contribution analyses
Kawahara et al. LS-SVM Based Modeling and Model Predictive Control for a Water-Hydraulic Artificial Muscle Actuator
Nguyen et al. Micro-position control of a piezostack actuator using rate-dependent hysteretic compensator
Mat Dzahir et al. Inverse modeling of nonlinear artificial muscle using polynomial parameterization and particle swarm optimization
Riccardi et al. Adaptive approximation-based control of hysteretic unconventional actuators
Sulaiman et al. Disturbance rejection using Model Predictive control for pneumatic actuator system
Jahagirdar et al. Effect of tuning parameters on performance of first-order plus dead-time processes using generalized predictive control
Zhang et al. Robust indirect adaptive sliding model control for Wiener nonlinear systems