Artificial Intelligent Systems and Machine Learning

A. Selwin Mich Priyadharson ¹, G. Siva Kumar ²

Affiliations
1 School of Electrical, Vel Tech Dr. RR & Dr. SR Technical University, Avadi, Chennai - 600 062, IN
2 School of Mechanical, Vel Tech Dr. RR & Dr. SR Technical University, Avadi, Chennai - 600 062, IN

Abstract

An innovative design for controlling the process variable parameters such as flow and level control by implementing gate control of hydroelectric power plant using Progrmmable Logic Controller (PLC) – Human Machine Interface (HMI) based cascaded fuzzy controller scheme is proposed. The existing control schemes have difficulty to cope up with inherent time delay, nonlinearity due to uncertainty of the process and frequent load changes. An experimental setup is fabricated in the laboratory for flow and level control and simulation studies were carried out using PLC – HMI based cascaded fuzzy controller scheme. The Lab scale Experimental set up is provided with five levels in the upper tank and two levels in the lower tank and depending on the level sensor outputs the ladder logic is actuated. This work uses PLC of B&R Industrial Automation inbuilt with 22 digital inputs and provides 14 potential free outputs to control the miniaturized process depicted in the work. The performance of proposed scheme is evaluated by simulation and the results are compared with conventional controllers using real time data obtained from the hydroelectric power plant. The advantages of the proposed scheme over the existing controllers are highlighted.

Keywords

Cascaded Fuzzy Controller, Hydro Electric Power Plant, Ladder Logic, Level Sensor, PLC - HMI.

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A. Selwin Mich Priyadharson ¹, T. R. Rangaswamy ²

Affiliations
1 Dept. of Electronics and Instrumentation, Veltech Dr. RR & Dr. SR Technical University, Chennai, IN
2 Dept. of Information Technology, B.S. Abdur Rahman University, Chennai, IN

Abstract

A novel design for combustion control of utility boiler using neural cascaded with fuzzy controller is proposed. The main objective of the combustion controller in a thermal power plant is to regulate fuel and air in proper ratio to maintain the desired steam pressure at the turbine inlet, irrespective of the changes in steam demand. The existing control schemes have difficulty to cope up with inherent time delay, nonlinearity due to uncertainty of the combustion process and frequent changes load calorific value of the fuel etc. This paper presents the design of neuro controllers to regulate fuel, cascaded with fuzzy controller to control air for combustion process. An experimental setup is fabricated in the laboratory for fuel and air control and real time simulation studies were carried out using PID, and neural cascaded with fuzzy schemes. The performances of proposed schemes are evaluated by simulation and the results are compared with conventional controllers using real time data obtained from the thermal power plant. The advantages of the proposed scheme over the existing controllers are highlighted.

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