A Fuzzy-PED controller is designed for tracing reference cutting forces in grinding by integrating a high performance fuzzy controller and an easy to use PUD controller. When the error of the grinding force is large, in order to respond quickly, the fuzzy controller with a self-tuning factor is adopted and the Max-Proc strategy is also used. This will be good for fuzzy reasoning. If the error of the grinding force is small, the PED controller is adopted for the benefit of robustness. The combined controller presents many advantages over conventional adaptive and fuzzy controllers, such as real time feasibility, robustness, and stability. A series of simulation work have been achieved to examine the sudden and gradual changes in the cutting ...
The objective of this study is to develop an intelligent controller for general nonlinear multivaria...
The hybrid force/position control base on fuzzy proportional-integral-derivative (PID) is proposed t...
Abstract:- In this paper, for nonlinear, time-varying and delayed system, PID parameters self-tuning...
A Fuzzy-PED controller is designed for tracing reference cutting forces in grinding by integrating a...
This paper presents a development of a self-tuning fuzzy PID controller to overcome the appearance o...
This project report deals with development of the control system for the milling machine. Vibration ...
In a robotic grinding process, a light-weight grinder is held by an intelligible robot arm. Material...
Proportional-integral-differential (PID) controllers are the most commonly used controllers in the p...
This paper discusses the application of fuzzy adaptive control strategy to the problem of cutting fo...
Tuning the parameters of a PID controller is very important in PID control. Ziegler and Nichols prop...
This thesis reports a fuzzy control system designed for power control of end milling processes. As c...
This paper shows a strategy for the fuzzy logic control system using an offline simulated ball mill ...
Abstract—Optimizing the final grinding production indices (GPIs), which include the product particle...
Abstract: It is known that PID controller is employed in every facet of industrial automation. The ...
Motion control systems play an important role in industrial engineering applications such as advance...
The objective of this study is to develop an intelligent controller for general nonlinear multivaria...
The hybrid force/position control base on fuzzy proportional-integral-derivative (PID) is proposed t...
Abstract:- In this paper, for nonlinear, time-varying and delayed system, PID parameters self-tuning...
A Fuzzy-PED controller is designed for tracing reference cutting forces in grinding by integrating a...
This paper presents a development of a self-tuning fuzzy PID controller to overcome the appearance o...
This project report deals with development of the control system for the milling machine. Vibration ...
In a robotic grinding process, a light-weight grinder is held by an intelligible robot arm. Material...
Proportional-integral-differential (PID) controllers are the most commonly used controllers in the p...
This paper discusses the application of fuzzy adaptive control strategy to the problem of cutting fo...
Tuning the parameters of a PID controller is very important in PID control. Ziegler and Nichols prop...
This thesis reports a fuzzy control system designed for power control of end milling processes. As c...
This paper shows a strategy for the fuzzy logic control system using an offline simulated ball mill ...
Abstract—Optimizing the final grinding production indices (GPIs), which include the product particle...
Abstract: It is known that PID controller is employed in every facet of industrial automation. The ...
Motion control systems play an important role in industrial engineering applications such as advance...
The objective of this study is to develop an intelligent controller for general nonlinear multivaria...
The hybrid force/position control base on fuzzy proportional-integral-derivative (PID) is proposed t...
Abstract:- In this paper, for nonlinear, time-varying and delayed system, PID parameters self-tuning...