Sun et al., 2019 - Google Patents
Designing and application of fuzzy PID control for overhead crane systemsSun et al., 2019
- Document ID
- 10149476306628006907
- Author
- Sun Z
- Ling Y
- Sun Z
- Bi Y
- Tan S
- Ding L
- Publication year
- Publication venue
- 2019 2nd International Conference on Information Systems and Computer Aided Education (ICISCAE)
External Links
Snippet
The overhead crane systems is a kind of complex dynamic nonlinear system, and the inherent under-actuated characteristics (the dimension of control variables are less than the degree of freedom dimension of the system) bring great difficulty to the payload control. In …
- 230000000875 corresponding 0 abstract description 5
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive 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
- G05B13/027—Adaptive 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
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive 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
- G05B13/042—Adaptive 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
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0205—Adaptive 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 |
---|---|---|
Sun et al. | Adaptive neural-fuzzy robust position control scheme for maglev train systems with experimental verification | |
Yi et al. | Anti-swing and positioning control of overhead traveling crane | |
Lee et al. | A new fuzzy-logic anti-swing control for industrial three-dimensional overhead cranes | |
CN108549229A (en) | A kind of overhead crane neural network adaptive controller and its design method | |
Sun et al. | An adaptive DE algorithm based fuzzy logic anti-swing controller for overhead crane systems | |
Antic et al. | Anti-swing fuzzy controller applied in a 3D crane system | |
Sun et al. | Designing and application of type-2 fuzzy PID control for overhead crane systems | |
Sun et al. | Designing and application of fuzzy PID control for overhead crane systems | |
Miao et al. | Artificial-neural-network-based optimal Smoother design for oscillation suppression control of underactuated overhead cranes with distributed mass beams | |
Yang et al. | Precision-positioning adaptive controller for swing elimination in three-dimensional overhead cranes with distributed mass beams | |
Qiang et al. | Anti-sway and positioning adaptive control of a double-pendulum effect crane system with neural network compensation | |
Wu et al. | Deep reinforcement learning-based control for asynchronous motor-actuated triple pendulum crane systems with distributed mass payloads | |
Wei et al. | An active vibration control method based on energy-fuzzy for cantilever structures excited by aerodynamic loads | |
Yan et al. | Swing suppression control in quayside crane by using fuzzy logic and improved particle swarm optimization algorithm | |
Li et al. | Kinematic coupling‐based trajectory planning for rotary crane system with double‐pendulum effects and output constraints | |
Naik et al. | 2-DOF robot manipulator control using fuzzy PD control with SimMechanics and sliding mode control: A comparative study | |
Zhang et al. | Fuzzy sliding mode control on positioning and anti-swing for overhead crane | |
Yang et al. | A novel nonsingular fixed-time control for uncertain bridge crane system using two-layer adaptive disturbance observer | |
Ouyang et al. | An LMI‐based simple robust control for load sway rejection of rotary cranes with double‐pendulum effect | |
Tong et al. | Research on accurate motion control of cable crane based on variable structure sliding mode | |
Kaur et al. | Position control of overhead cranes using fuzzy controller | |
Yao et al. | A High-Order Fully Actuated System Approach to Control of Overhead Cranes | |
Al-Tuhaifi et al. | Neuro-fuzzy-based anti-swing control of automatic tower crane | |
CN114249238B (en) | An anti-sway control method for an overhead crane | |
Liu et al. | Fuzzy tuning sliding mode control of transporting for an overhead crane |