Qingding Guo

Position Control of Linear Servo System Using Intelligent Feedback Controller

This paper presents a new position tracking control strategy that meets the position tracking performance and the closed loop robustness to external disturbance and model parameters variations without parameter identification. In order to achieve the desired input-output tracking and disturbance rejection performance independently, a two-degree-of-freedom (2DOF) internal model control (IMC) is introduced in controller structure. Furthermore, based on fuzzy logic, the parameter of the feedback controller is adjusted on-line to improve robustness. The simulation results on a direct-drive permanent magnet linear synchronous motor (PMLSM) show that proposed method is effective on improving system robustness

Position Synchronized Control of Dual Linear Motors Servo System Using Fuzzy Logic

This paper presents a position synchronized controller for dual linear motors servo system in gantry moving type milling machining centers. To guarantee the requirement for high accuracy in synchronous tracking, the same position feedback controller is used to single linear motor position servo axis independently. The acceleration feedforward control and electrical cross-coupled control algorithms based on fuzzy logic are applied to dual linear motor position servo axes to counteract the influence of mechanical coupling rapidly, and then meet dynamic synchronized performance in machining. The simulation results show that the proposed control methods are effective and yield superior performance

Synchronized Control of Dual Linear Motors Position Servo System Based on Fuzzy Self-Learning Compensation

This paper introduces the position synchronized control strategy that meets position tracking performance and the closed loop robustness to external disturbance in dual linear motors servo system. In order to achieve the desired dynamic synchronized performance for dual position servo axes in machining, the same position feedback controller is used to single linear motor position servo axis independently, and an electrical cross-coupled control algorithms based on fuzzy self-learning are applied to dual linear motor position servo system. The simulation results show that proposed method is effective on improving synchronized performance

H ∞ Robust Control of Vertical Motion in Ultra-High Rise a High Speed Elevators Using LMIs

This paper presents the design of vertical motion control systems for ultrahigh rise/high speed elevator. We use a linear model to describe the real elevator system, and then utilize LMIs processing method to generate a Hinfin controller which is designed based on this model and both performance objectives, tracking and releveling. Additionally, the controller design must be robust to changes in system parameters due to component wear, variations in the dynamics of the elevator ropes. After that, simulation studies are carried out to evaluate the performance of the controller. Simulation results have shown that the performance of this controller is also robust to the anticipated range of parameter uncertainty within the system

A Novel Adaptive Control of Elevator Motion System

This paper discusses the design of the elevator vertical motion control system. The requirements on elevator motion control are the comfort, the precise relevelling and the realization of shortest flight time. Starting jerks, parameter variation and disturbances cause an uncomfortable run. Considering these problems mentioned above, an adaptive controller is proposed in this paper. In the adaptive controller, an observer and a disturbance rejection control are designed. Besides this, the parameters of the linearized system are identified, thus allowing the observer coefficients and the gain values to be adapted, hence the effects of parameter variation and uncertainty can be reduced. The simulations of the proposed adaptive controllers s are made. The results show that the robustness of the adaptive controller is superior, and the convergence of the adaptive controller is better

The Application of ZPETC Based on Optimal Design of L 2 -Norm in Servo Tracking Control

In high precision servo tracking control system, in order to make the output response track perfectly the input command, the phase error between output and input is required to be zero, at the same time the magnitude is required to be uniform. Generally zero phase error tracking controller (ZPETC) is used as feedforward controller to compensate for the phase error, but this will also cause small gain error. To improve the tracking performance of the ZPETC, the optimal design scheme of feedforward controller based on L2-norm is proposed in the paper. The optimal digital prefilter (DPF) is designed by selecting proper objective function. By cascading the developed DPF to ZPETC, a new feedforward controller is obtained. The scheme greatly improves the gain performance of the system while maintaining zero phase error of the system, thus the tracking accuracy of the system is enhanced. This characteristic is seen from the simulation results

H ∞ Robust Tracking of Vertical Motions in High-Rise Elevator

This paper presents the design of vertical motion control systems for ultra-high rise/high speed elevator. We use a linear model to describe the real elevator system, and then utilize LMIs processing method to generate a Hinfin controller which is designed based on this model and both performance objectives, tracking and releveling. Additionally, the controller design must be robust to changes in system parameters due to component wear, variations in the dynamics of the elevator ropes. After that, simulation studies are carried out to evaluate the performance of the controller. Simulation results have shown that the performance of this controller is also robust to the anticipated range of parameter uncertainty within the system