Constant Turning Force Adaptive Controller Design

1989 ◽  
Vol 111 (2) ◽  
pp. 125-132 ◽  
Author(s):  
Bor-Sen Chen ◽  
Yih-Fang Chang
Keyword(s):  
Control System ◽  
Force Feedback ◽  
Controller Design ◽  
Cutting Tools ◽  
Design Procedure ◽  
Adaptive Controller ◽  
Pi Controller ◽  
Cutting Process ◽  
Time Varying ◽  
Good Reliability

In the Constant Turning Force Adaptive Control system, the cutting process is nonlinear time-varying; besides, the stability cannot be assured by classical control theory since the cutting tools usually cut a workpiece at various cutting depths. In this paper, based on the small gain theorem, we propose a new method to design a PI controller with high robustness to stabilize the force feedback control system against the nonlinear time-varying gain perturbation in the cutting process. A simple design procedure will be presented and several illustrative simulation results are given. The practical experimental results of a converted lathe with the PI controller designed with this method also show a good robustness and good reliability.

PI Controller Design for DFIG Wind Power Generation System RSC Based on PSO Algorithm

2014 ◽  
Vol 508 ◽  
pp. 196-199
Author(s):  
Yi Min Chu ◽  
Wu Wang
Keyword(s):  
Control System ◽  
Controller Design ◽  
Good Control ◽  
Pso Algorithm ◽  
Pi Controller ◽  
Current Loop ◽  
Control Effect ◽  
Loop Control ◽  
Stator Flux ◽  
Rotor Side Converter

PID controller has widely used in control system for its simple structure, good control effect and strong robustness, the PI control strategy was introduced into rotor side converter of DFIG control with the mathematical models and the structure of stator flux-oriented vector control. Particle swam optimization algorithm was a new random optimization technology which has the features of rapid calculation speed. The PI controller design for RSC current loop and speed loop control was analyzed, and the PSO algorithm was presented for PI controller design, the simulation experiments demonstrated that the algorithm was suitable for the RSC control system with PSO remarkable search capability.

Stability Analysis and Controller Design for Fuzzy Parameter Varying Systems Based on Fuzzy Lyapunov Function

2018 ◽  
Author(s):  
Xiaojun Ban ◽  
Hongyang Zhang ◽  
Fen Wu
Keyword(s):  
Lyapunov Function ◽  
Controller Design ◽  
Design Procedure ◽  
Handling Time ◽  
Feedback Gain ◽  
Time Varying ◽  
System A ◽  
Fuzzy Lyapunov Function ◽  
Parameter Varying ◽  
Fuzzy Parameter

The fuzzy parameter varying (FPV) system is a mathematical model proposed to handle nonlinear time-varying dynamical systems encountered in engineering, which has some essential advantages in handling time-varying models. In this article, a new relaxation approach is proposed for the analysis and controller design of the FPV system. Different from the current results on the FPV system, the proposed approach employs the fuzzy Lyapunov function and full block S-procedure to reduce the conservatism in analysis. Furthermore, the relaxation technique proposed in this article can be also used in solving controller synthesis problem effectively. As a result, a design procedure of non-PDC output feedback gain-scheduling controller is provided to ensure asymptotic stability of the closed-loop FPV system. A numerical example is provided to illustrate the proposed method.

Intelligent Fuzzy Controller Design and Simulation for Vehicle Speed Control

2010 ◽  
Vol 43 ◽  
pp. 62-67
Author(s):  
Jie Hui Li ◽  
Chang Jun Chen ◽  
Lin Shan Guo ◽  
Bing Cheng Yan
Keyword(s):  
Fuzzy Controller ◽  
Controller Design ◽  
Linear Time ◽  
Speed Control ◽  
Vehicle Control ◽  
Vehicle Speed ◽  
Time Varying ◽  
Good Reliability ◽  
Control Precision ◽  
Diesel Vehicle

Through the study on fuzzy control in the vehicle speed control, the intelligent fuzzy controller with intelligent integral and differential is proposed. In this paper, we take diesel vehicle control system as an example, and the vehicle speed control system’s simulation has been completed. Simulation results show that the intelligent fuzzy controller could adapt to the model whose parameters are non-linear, time-varying, and this controller can also effectively inhibit the environmental interference, so the system with intelligent fuzzy controller has strong robustness, good reliability and higher control precision.

ADAPTIVE FUZZY TRACKING CONTROL FOR A CLASS OF PERTURBED NONLINEAR TIME-VARYING DELAYS SYSTEMS WITH UNKNOWN CONTROL DIRECTION

2013 ◽  
Vol 21 (04) ◽  
pp. 497-531 ◽  
Author(s):  
HONGYUN YUE ◽  
JUNMIN LI
Keyword(s):  
Controller Design ◽  
Adaptive Fuzzy Control ◽  
Small Neighborhood ◽  
Design Procedure ◽  
Time Varying ◽  
Adaptive Fuzzy ◽  
Control Scheme ◽  
Unknown Control ◽  
Unknown Control Direction ◽  
Control Direction

An adaptive fuzzy control scheme with only one adjusted parameter is developed for a class of nonlinear time-varying delays systems. Three kinds of uncertainties: time-varying delays, control directions, and nonlinear functions are all assumed to be completely unknown, which is different from the previous work. During the controller design procedure, appropriate Lyapunov-Krasovskii functionals are used to compensate the unknown time-varying delays terms and the Nussbaum-type function is used to detect the unknown control direction. It is proved that the proposed controller guarantees that all the signals in the closed-loop system are bounded and the tracking errors converge to a small neighborhood around zero. The two main advantages of the developed scheme are that (i) by combining the appropriate Lyapunov-Krasovskii functionals with the Nussbaum-gain technique, the control scheme is proposed for a class of nonlinear time-varying delays systems with unknown control directions, (ii) only one parameter needs to be adjusted online in controller design procedure, which reduces the computational burden greatly. Finally, two examples are used to show the effectiveness of the proposed approach.

Force control in turning based on robust PI controller design

1997 ◽  
Vol 211 (2) ◽  
pp. 165-175 ◽  
Author(s):  
L Harder ◽  
A J Isaksson
Keyword(s):  
Cutting Force ◽  
Time Constant ◽  
Force Control ◽  
Controller Design ◽  
Pi Controller ◽  
Internal Model Control ◽  
Time Variable ◽  
Cutting Process ◽  
Process Gain ◽  
Rough Turning

Real-time cutting force control is a very straightforward way to improve safety, performance and quality in rough turning operations. The main problem in controller design for force control is to achieve robustness. Several time-variable process parameters, such as the depth of cut, the spindle rotational speed and the specific cutting force, directly affect the closed-loop system gain and time constant. In this paper, two approaches to robust PI (proportional integral) controller design based on the internal model control (IMC) method are presented. The first approach treats the cutting process as a first-order system with a time- variable gain. By designing for highest process gain, the controller becomes robust, but perhaps a bit sluggish for the lower range of process gain. In the second approach, the cutting process is linearized by introducing non-linear transformations. In this way, the design may be based on a constant-gain system and the time-variable parameters may be considered as additive disturbances. This controller is somewhat faster than the first approach and shows almost identical behaviour over the entire operating range. Both controllers incorporate, in addition, simple parameter adaptation by gain scheduling with respect to spindle speed variations, in order to handle variations in the process time constant. The work presented in this paper shows that it is possible to achieve robust force control in turning using the common PI controller.

scholarly journals Robust Adaptive Dynamic Surface Control for a Class of Nonlinear Dynamical Systems with Unknown Hysteresis

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Yong-Hua Liu ◽  
Ying Feng ◽  
Xinkai Chen
Keyword(s):  
Controller Design ◽  
Nonlinear Dynamical Systems ◽  
Design Procedure ◽  
Adaptive Controller ◽  
Dynamic Surface Control ◽  
Control Technique ◽  
Negative Effects ◽  
Dynamic Surface ◽  
Surface Control ◽  
Robust Adaptive

The output tracking problem for a class of uncertain strict-feedback nonlinear systems with unknown Duhem hysteresis input is investigated. In order to handle the undesirable effects caused by unknown hysteresis, the properties in respect to Duhem model are used to decompose it as a nonlinear smooth term and a nonlinear bounded “disturbance-like” term, which makes it possible to deal with the unknown hysteresis without constructing inverse in the controller design. By combining robust control and dynamic surface control technique, an adaptive controller is proposed in this paper to avoid “the explosion complexity” in the standard backstepping design procedure. The negative effects caused by the unknown hysteresis can be mitigated effectively, and the semiglobal uniform ultimate boundedness of all the signals in the closed-loop system is obtained. The effectiveness of the proposed scheme is validated through a simulation example.

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