Sliding mode controller with AGA for drum water level of ship boiler

Due to the strong load disturbance, model uncertainties and parameters mismatch, it is usually difficult to control drum water level of the boiler. A sliding mode controller with adaptive genetic algorithm (AGA) was proposed. Taking the error of drum water level, its velocity and its accelerated speed into s-function, the sliding mode controller was designed. And by using Lyapunov stability theorem, its stability was proved. On this basis, sliding mode controller parameter was optimized with AGA. The proposed method was applied to the drum water level control, and PID controller was also applied to drum water level control. The results prove that sliding mode controller with AGA leads to better performance than PID controller, and it´s a valid and feasible method.