Self-tuning fuzzy PID controller for electro-hydraulic cylinder

2012 IEEE Control and System Graduate Research Colloquium

Nordin

et al. 2012

This paper present the implementation of real time PID controller for hydro-diffusion steam distillation essential oil extraction system based on comparison of Gradient Descent (GD) and Ziegler Nichols (ZN) tuning methods. The first order of Auto Regressive Exogenous (ARX) model was used to describe the behavior of the temperature system and will be use in the controller design. A PID controller is expected to execute a robust response towards parameters changes and better control of steam temperature during distillation process. The system had been evaluated based on rise time, % overshoot, settling time and root mean square error (RMSE). The temperature control was achieved by controlling the voltage fed to the heater ranging from 0V to 5V via digitalto-analogue converter (DAC). Robustness test of the PID controller are based on: i) introduce disturbance and ii) set-point tracking. From the result, the performance of PID controller using GD tuning method reveals that this controller can be adapt for the system because being sensitive to parameters changes and robust as the response can compensate the load disturbance and set point change.

Section: Pid Controller Designmentioning

confidence: 99%

Real time PID control for hydro-diffusion steam distillation essential oil extraction system using Gradient Descent tuning method

2012 IEEE Control and System Graduate Research Colloquium

Nordin

et al. 2012

“…Hybridization of these two controller structures comes to mind to exploit the beneficial sides of both categories [15,[20][21]. Otherwise, the trend nowadays is to implement hybrid systems consisting of more than one type of control technique to design a controller that is robust against parameter variations and lead to better performances [22]. Various hybrid controller structures have arisen in literature for various applications such as to control steam distillation process for essential oil extraction system [15], position control of a slider cranks manipulator [19], control manipulator and stoker-fired boiler show the effectiveness and robustness of the hybrid fuzzy [23].…”

Section: Introductionmentioning

confidence: 99%

Steam temperature control of hydro-diffusion essential oil extraction system using hybrid-fuzzy plus PID controller

2014 IEEE Conference on Systems, Process and Control (ICSPC 2014)

Taib

et al. 2014

In extracting the essential oils, some of the influential factors need to be considered which can affect the yield and quality of the oils. Many studies have performed on several influential parameters and dictated that the temperature of extraction plays an important parameter that can give large effect on yield and quality. In order to regulate the temperature, a suitable controller is required. However, until now, very little publications stress on the control development of essential oil extraction system. This work proposed the simulation comparative studies on control performance of hybrid fuzzy plus PID controller using 3, 5 and 7 membership functions to regulate the steam temperature of hydro-diffusion essential oil extraction system. The ARX model was used to represent the system dynamic. The effectiveness of the proposed controller was tested via robustness test. Based on the simulated outcomes, the step responses analysis shows that the controllers performed very well. From the set point tracking test, the developed controllers were able to track the changes of set point whether in small or large set point change. There were also true for load disturbance tests.

“…The trend nowadays is to implement hybrid systems consisting of more than one type of control technique to design a controller that is robust against parameter variations and lead to better performances [25].…”

Section: Introductionmentioning

confidence: 99%

Implementation of hybrid fuzzy plus PID controller in real time steam temperature control

2013 IEEE 3rd International Conference on System Engineering and Technology

Taib

et al. 2013

This paper presents the comparative studies between hybrid fuzzy plus PID with different membership function and PID controller. The purposed in designing controller is to regulate the steam temperature to the operating point in order to achieve some objectives such as stability, transient performances and optimizes the economic function. The steam temperature has the great impact on the quality of the oils. The results show that HFPID using 49 rules produced better performances since provides fast transient response and small steady state error. It's pushes the output to attain steady state much faster with a small error. Consequently, it will significantly reduce the power consumption.