Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Weigang Pan.
fuzzy systems and knowledge discovery | 2010
Yaozhen Han; Hairong Xiao; Weigang Pan; Changshun Wang; Fengyu Zhou
Though sliding mode variable structure controller has good robustness and high stability, its chattering phenomenon is widely exist. A fuzzy sliding mode controller is designed based on exponential approach law by combining sliding control and fuzzy control in this paper. The computer simulation is applied to verify the advance of the fuzzy sliding mode controller and the controller is applied to ship course control. The simulation results verify this controller is very effective.
chinese control and decision conference | 2008
Fengyu Zhou; Changshun Wang; Feng Li; Jiuhong Ruan; Weigang Pan
Applying mathematics model of nonlinear ship control and the wave disturbances to the design of autopilot tracking the ship course, and considering the uncertainty of model parameters and the characteristics of rudderpsilas servo-system makes the model have the unmatched uncertainty correspondingly. In order to solve the difficulty, an active disturbance rejection nonlinear control strategy is proposed, and a ship course tracking ADRC controller is designed. The simulation results of ship course tracking and keeping show that the controller has good adaptabilities on the system nonlinearity and strong robustness to parameter perturbations of the ship and environmental disturbances. And the course switching is fast and smooth with small rudder turning volume, thus achieved high-accurate ship course control.
international conference on computer science, environment, ecoinformatics, and education | 2011
Hairong Xiao; Weigang Pan; Yaozhen Han
Because of the strong non-linearity and uncertainty, the dynamics restraints of autopilots, as well as the effects of wave disturbances, designing a high performance ship course controller is always a difficult work. In order to solve the difficulty, an active disturbance rejection nonlinear control strategy is proposed, and the genetic algorithm is used to modify parameters of ADRC online which improve the ADRCs adaptive capacity. A ship course genetic algorithm ADRC controller is designed. The simulation results of ship course tracking and keeping show that the controller has good adaptabilities on the system nonlinearity and strong robustness to parameter perturbations of the ship and environmental disturbances.
world congress on intelligent control and automation | 2010
Weigang Pan; Hairong Xiao; Yaozhen Han; Changshun Wang; Fengyu Zhou
The paper introduced autopilot system for small vessel. Switch problem between hand steering and wheel steering is solved by used relay with normally open contact and normally close contact.485 bus is used to solve the transmission problem of rudder signal. Confirmed by tried in a fished boat, the autopilot system is high reliability, good stability, obvious energy-saving.
international conference on computer science, environment, ecoinformatics, and education | 2011
Weigang Pan; Guiyong Yang; Changshun Wang; Yingbing Zhou
Applying mathematics model of nonlinear ship main engine control and the wave disturbances to the design of electronic governor, and considering the uncertainty of model parameters and the characteristics of servo-system makes the model have the unmatched uncertainty correspondingly. In order to solve the difficulty, an active disturbance rejection nonlinear control strategy is proposed, and the expert system is used to modify parameters of ADRC online which improve the ADRC’s adaptive capacity. A ship main engine genetic algorithm ADRC controller is designed. The simulation results of ship main engine (ME) speed tracking and keeping show that the controller has good adaptabilities on the system nonlinearity and strong robustness to parameter perturbations of the ship and environmental disturbances. And the speed switching is fast and smooth, thus achieved high-accurate ship ME speed control.
world congress on intelligent control and automation | 2010
Weigang Pan; Hairong Xiao; Yaozhen Han; Changshun Wang; Guiyong Yang
Applying mathematics model of nonlinear ship main engine control and the wave disturbances to the design of electronic governor, and considering the uncertainty of model parameters and the characteristics of servo-system makes the model have the unmatched uncertainty correspondingly. In order to solve the difficulty,an active disturbance rejection nonlinear control strategy is proposed,and a ship main engine ADRC controller is designed. The simulation results of ship main engine (ME) speed tracking and keeping show that the controller has good adaptabilities on the system nonlinearity and strong robustness to parameter perturbations of the ship and environmental disturbances. And the speed switching is fast and smooth with small throttle turning volume, thus achieved high-accurate ship ME speed control.
international conference on intelligent systems design and engineering applications | 2010
Weigang Pan; Hairong Xiao; Changshun Wang
Because of the strong non-linearity and uncertainty, the dynamics restraints of autopilots, as well as the effects of wave disturbances, designing a high performance ship course controller is always a difficult work. In order to solve the difficulty, an active disturbance rejection nonlinear control strategy is proposed, and the genetic algorithm is used to modify parameters of ADRC online which improve the ADRCs adaptive capacity. A ship course optimal ADRC controller is designed. The simulation results of ship course tracking and keeping show that the controller has good adaptabilities on the system nonlinearity and strong robustness to parameter perturbations of the ship and environmental disturbances.
computational intelligence | 2010
Yaozhen Han; Hairong Xiao; Weigang Pan; Changshun Wang; Fengyu Zhou
Sliding mode variable structure control and RBF neural network has complementary advantages in nonlinear application field. The characteristics of variable structure control and RBF neural network are introduced. Several methods combining variable structure control and RBF network are summarized and studied. Ship motion nonlinear mathematical model is established. A sliding mode controller based on RBF neural network gain adjustment is applied in ship course control and the simulation results show that the chattering of sliding mode control is greatly reduced and better control effect is obtained.
Archive | 2011
Changshun Wang; Weigang Pan; Yaozhen Han; Hairong Xiao; Fengyu Zhou; Yingbing Zhou; Huang Zhang
Archive | 2009
Fengyu Zhou; Yibin Li; Weigang Pan; Changshun Wang; Feng Li; Guorui Feng; Yaozhen Han; Jinming Dan; Wei Wang; Jingshuai Chen; Tianfu Zhu