Design and Application of Enhanced Composite Nonlinear Feedback Control Based on Genetic Algorithm

Considering the parameter setting process is complicated in the design process of the current Composite Nonlinear Feedback Control law, this paper proposed an Enhanced CNF (Composite Nonlinear Feedback) controller based on Genetic Algorithm. Select the time multiplied by the absolute error of the integral as a performance indicator, the parameter tuning problem is turned into a minimization problem. The Genetic Algorithm is used to set all the design parameters of the Enhanced CNF controller at one time. The proposed controller is introduced into the set-point control of the torsional micromirror, the simulation results demonstrate that the system can achieve the desired performance efficiently and accurately with the proposed controller.