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The challenging task of designing an auto pilot for non linear time varying flexible flight vehicle system under conflicting design requirements requires a gain scheduled controller throughout the flight. But still the final solution is bound to end up in some compromises with proper gain scheduling. The switching from one gain to another gain value creates disturbances in the flight and therefore this transition of gains must be smoothened. This is achieved by introducing an adaptive PID controller based on Neural network as a supplementary to the main controller.

This paper describes the design and implementation of various type of controllers, used in controlling the double integrator system with input saturation none linearity. Two different types of controllers for the double integrator system will be discussed, conventional or classical controllers and intelligent controllers. The double integrator plant, which is one of the most fundamental systems in control applications, is considered here. Some of applications of the double integrator plant are, satellite control system [1], [2], single-degree-of-freedom translational [4], single-axis spacecraft rotation, alpha joint of Space station, inverted pendulum system with an on-off actuator, and, conventional hard disk drive with a single voice-coil-motor (VCM) actuator. First, the design of different conventional controllers for the double integrator plant with saturation nonlinearity will be presented. Then, the design and implementation of two types of Fuzzy Logic Controller (FLC) will be presented. Finally, PID controller for the Double Integrator system that is tuned using genetic algorithms will be presented. It was found that PID controller for the double integrator system that is tuned using genetic algorithms is better than the other controller.