Automatic Fuzzy Tuning of Proportional-integral Controllers Based on Time-domain Specifications

Automatic Tuning of Model Predictive Controllers Based on Fuzzy Logic

This paper presents an online tuning strategy for model predictive control. Specifically, the tuning strategy adjusts automatically the prediction horizon, P, the diagonal elements of the input weight matrix, Λ, and the diagonal elements of the output weight matrix, Γ. The control horizon is left constant because its relative value with respect to P is more important. The MPC parameters are adj...

Design Methods and Tuning of Bilinear Proportional-integral-plus Controllers

Tuning Fractional Order Proportional Integral Controllers for Time Delayed Systems with a Fractional Pole

First order plus time delay model is widely used to model systems with S-shaped reaction curve. Its generalized form is the use of a single fractional pole to replace the first order (singletime constant) model, which is believed to better characterize the reaction curve. Using time delayed system model with a fractional pole as the starting point, in this paper, designing fractional order cont...

Automatic design of robust PID controllers based on QFT specifications

This paper proposes an optimization algorithm for the automatic design of robust PID controllers using Quantitative Feedback Theory (QFT) specifications. The proposed algorithm is based on a criterion to minimize the energy of the control effort. To illustrate the methodology, the pitch angle of a laboratory helicopter is used as a model application with structured uncertainty. The results show...

Automatic Tuning of PID Controllers based on Asymmetric Relay Feedback

This thesis presents an improved version of the classic relay autotuner. The proposed autotuner uses an asymmetric relay function to better excite the process in the experiment phase. The improved excitation provides the possibility to obtain better models and hence better tuning, without making the autotuner more complicated or time consuming. Some processes demand more accurate modeling and t...