Abstract
In this work, a new technique based on Genetic Algorithm for designing multivariable PID filter controller has been developed and applied to gasifier control of ALSTOM benchmark challenge II. The coal gasifier is the main component in Modern power generation. Coal gasifier involves several performance and robustness requirements in addition to actuator constraints under three operating loads (no-load, 50% and 100% load). The proposed GA optimises the tuning parameters of PID constants in terms of robustness and performance. The optimised controller meets all design objectives under all operating conditions. Robustness of the controller is tested for step and sinusoidal pressure disturbances applied at the inlet of throttle valve along with increase and decrease of calorific value of fuel fed-in (coal). Simulation results obtained confirmed the superiority of proposed technique for gasifier problems.
Highlights
Coal gasifier plays an important part in clean coal power generation
A new technique based on Genetic Algorithm for designing multivariable PID filter controller has been developed and applied to gasifier control of ALSTOM benchmark challenge II
The coal gasifier is the main component in Modern power generation
Summary
Coal gasifier plays an important part in clean coal power generation. It converts coal into syngas under high temperature and pressure. Control of gasifier becomes vital in producing syngas with higher efficiency. In this context, ALSTOM, the UK power generation centre, posed the benchmark challenge II to design controller for gasifier that incorporates pressure disturbance test as well as coal quality variation test. In this paper, optimised Proportional Integral and Derivative filer controller is designed. The parameters of Proportional Integral Derivative controller with filter approach are optimised using Genetic Algorithm and multiobjective problem existing in gasifier is converted into single optimisation problem and can be taken as objective function
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