• Corpus ID: 8072782

Boiler Flow Control Using PID and Fuzzy Logic Controller

@inproceedings{Malhotra2011BoilerFC,
  title={Boiler Flow Control Using PID and Fuzzy Logic Controller},
  author={Rahul Malhotra and Rajinder Sodhi},
  year={2011}
}
Conventional Proportional Integral Controllers are used in many industrial applications due to their simplicity and robustness. The parameters of the various industrial processes are subjected to change due to change in the environment. These parameters may be categorized as steam, pressure, temperature of the industrial machinery in use. Various process control techniques are being developed to control these variables. In this paper, the steam flow parameters of a boiler are controlled using… 

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References

SHOWING 1-10 OF 21 REFERENCES

Tuning Algorithms for PID Controller Using Soft Computing Techniques

The parameters of PID controller are tuned for controlling the armature controlled DC motor.

An improved robust fuzzy-PID controller with optimal fuzzy reasoning

The main advantage is that an integration of the optimal fuzzy reasoning with a PID control structure will generate a new type of fuzzy-PID control schemes with inherent optimal-tuning features for both local optimal performance and global tracking robustness.

An Intelligent Hybrid Fuzzy Pid Controller

A new intelligent hybrid controller that blends the classical PID and the fuzzy controllers in an intelligent way has been achieved and thus ‘better’ system responses in terms of transient and steady-state performances when compared to the pure classical PID or the pure fuzzy controller applications.

Fuzzy gain scheduling of PID controllers

The development of a scheme for fuzzy gain scheduling of PID (proportion-integral-derivative) controllers for process control is described and results demonstrate that better control performance can be achieved in comparison with the controllers of J. Nichols and T. Kitamori's PID controllers.

Design of Gain Scheduled Fuzzy PID Controller

  • L. YaoChin-Chin Lin
  • Computer Science
    International Conference on Computational Intelligence
  • 2004
It will be shown that the proposed GS_FPID controllers learned by the accumulated GA perform well for not only the regular linear systems but also the higher order and time-delayed systems.

Analysis and Performance Evaluation of PD-like Fuzzy Logic Controller Design Based on Matlab and FPGA

This paper presents an analysis and performance evaluation of the proportional-derivative (PD) fuzzy logic controller design by using Matlab and field programmable gate array (FPGA). The fuzzy logic

Developed Method of FPGA-based Fuzzy Logic Controller Design with the Aid of Conventional PID Algorithm

A developed method to design a digital fuzzy logic controller with the aid of conventional Proportional - integral - derivative (PID) controller using field programmable gate array (FPGA) using VHDL language for implementation on FPGA device.

New methodology for analytical and optimal design of fuzzy PID controllers

Simulation results show that the proposed fuzzy PID controller produces superior control performance to the conventional PID controllers, particularly in handling nonlinearities due to time delay and saturation.

An Adaptive Grey Fuzzy PID Controller With Variable Prediction Horizon

It is clear that the proposed adaptive PID type fuzzy controller is effective in controlling such a non-linear system by changing the prediction horizon adaptively for real-time working.