Novel Off-Line Self-Tuning Controller with Guaranteed Stability

Tuning control parameters is an essential task for the controller in all practical applications. This paper presents a new Lyapunov-based off-line self-tuning control (OSTC). method. The OSTC is a nonlinear controller with applications to nonlinear systems. The OSTC uses the settling point and settling time to tune the control parameters. The presented algorithm tested 150,000 simulations to formulate the control parameters. The tuning task is based on the integral of the absolute error (IAE). and integral of time multiplied by absolute error (ITAE). performance criteria. Simulink/MATLAB was employed to test the OSTC method by defining two regulation and tracking control problems. For each control problem, six practices are considered, and the proposed algorithm is validated by comparing the formulated Equations of the control parameters.

Automated summary

This paper introduces a new Lyapunov-based off-line self-tuning control (OSTC) method for nonlinear systems. The control parameters are tuned using the settling point and settling time, and the algorithm is validated through extensive simulations. The tuning task is based on the integral of the absolute error (IAE) and integral of time multiplied by absolute error (ITAE) performance criteria.