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Research paper thumbnail of Real Time Implementation of Fuzzy Based Adaptive PI Controller for a Spherical Tank System

International Journal of Simulation Systems Science & Technology, 2013

This paper proposes a new fuzzy adaptive variable digital PI controller for a single input single... more This paper proposes a new fuzzy adaptive variable digital PI controller for a single input single output non-linear spherical tank level process system. The open loop transfer function models are carried out at three different operating regions and those models are formulated based on the real laboratory scale system. The proposed FAPI controller is a combination of two input two output Fuzzy logic controller and a Variable digital PI controller. The input to the fuzzy controller is error and change in error and its outputs are K P and K I. The PI controller's parameters are estimated on-line based on error and change in error. The real time implementation and control of the process plant is done in MATLAB using VMAT-01 Data Acquisition Module. The objective is to make the output to settle fast with minimum overshoot and the disturbances do not affect the performances of the system.

Research paper thumbnail of Fuzzy Adaptive Pi Controller for Single Input Single Output Non-Linear System

The proposed fuzzy adaptive PI control algorithm is designed for non-linear level process to impr... more The proposed fuzzy adaptive PI control algorithm is designed for non-linear level process to improve the control performance better than the conventional PI controller. The conventional PI controller works well only if the mathematical model of the system could be computed. Hence it is difficult to implement the conventional PI controller for variable as well as complicated systems. But fuzzy logic control does not require any precise mathematical model and works good for complex applications also. In this paper, a two input and two output fuzzy adapting PI controller is designed to control the chosen non-linear level process.

Research paper thumbnail of Real-Time Implementation of Multi-model Reference-Based Fuzzy Adaptive PI Controller for a Liquid-Level Process

Advances in Intelligent Systems and Computing, 2021

Research paper thumbnail of Real Time Implementation of Fuzzy Based Adaptive PI Controller for a Spherical Tank System

International Journal of Simulation Systems Science & Technology, 2013

This paper proposes a new fuzzy adaptive variable digital PI controller for a single input single... more This paper proposes a new fuzzy adaptive variable digital PI controller for a single input single output non-linear spherical tank level process system. The open loop transfer function models are carried out at three different operating regions and those models are formulated based on the real laboratory scale system. The proposed FAPI controller is a combination of two input two output Fuzzy logic controller and a Variable digital PI controller. The input to the fuzzy controller is error and change in error and its outputs are K P and K I. The PI controller's parameters are estimated on-line based on error and change in error. The real time implementation and control of the process plant is done in MATLAB using VMAT-01 Data Acquisition Module. The objective is to make the output to settle fast with minimum overshoot and the disturbances do not affect the performances of the system.

Research paper thumbnail of Fuzzy Adaptive Pi Controller for Single Input Single Output Non-Linear System

The proposed fuzzy adaptive PI control algorithm is designed for non-linear level process to impr... more The proposed fuzzy adaptive PI control algorithm is designed for non-linear level process to improve the control performance better than the conventional PI controller. The conventional PI controller works well only if the mathematical model of the system could be computed. Hence it is difficult to implement the conventional PI controller for variable as well as complicated systems. But fuzzy logic control does not require any precise mathematical model and works good for complex applications also. In this paper, a two input and two output fuzzy adapting PI controller is designed to control the chosen non-linear level process.

Research paper thumbnail of Real-Time Implementation of Multi-model Reference-Based Fuzzy Adaptive PI Controller for a Liquid-Level Process

Advances in Intelligent Systems and Computing, 2021

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