In this paper, we propose a data-based auto-tuning method for industrial PID controllers, which does not rely on a model of the plant. The method is inspired by the Virtual Reference Feedback Tuning approach for data-based controller tuning, but it is taylored to the framework of PID controller design. The method is entirely developed in a deterministic, continuous time setting, where the assum...

This paper proposes a repetitive control type optimal gait generation framework by executing learning control and parameter tuning. We propose a learning optimal control method of Hamiltonian systems unifying iterative learning control (ILC) and iterative feedback tuning (IFT). It allows one to simultaneously obtain an optimal feedforward input and tuning parameter for a plant system, which min...

−− Dynamic Matrix Control Algorithm is a powerful control method widely applied to industrial processes. The idea of this work is to use the Genetic Algorithms (GA) with the elitism strategy to optimize the tuning parameters of the Dynamic Matrix Controller for SISO (single-input single-output) and MIMO (multi-input multi-output) processes with constraints. A comparison is made between the comp...

Adaptive influence-coefficient methods have proven successful at controlling unbalance-induced vibration of rotating machinery without requiring a priori knowledge of machine dynamics. If initial influence estimates are inaccurate, however, vibration may become worse temporarily before the estimation converges. An auto-tuning method is presented here that adjusts adaptive “gain” parameters duri...

This paper presents a new practical tuning method for fractional order proportional and integral (FO-PI) controller. The plant to be controlled is mainly first order plus delay time (FOPDT). The tuning is optimum in the sense that the load disturbance rejection is optimized yet with a constraint on the maximum or peak sensitivity. We generalized Ms constrained integral (MIGO) based controller t...

This paper proposes a design method of separable denominator 2-D variable digital filters with high frequency tuning accuracy. In the proposed method, a parallel allpass structure with complex coefficients is used as a prototype structure of the 2-D variable digital filters. The proposed 2-D variable digital filters are composed of first-order complex allpass sections. To improve the frequency ...

In this paper, we provide a new method of the PID parameter tuning for time-delay systems by utilizing the fictitious reference iterative tuning (FRIT), which is a controller tuning method enabling us to obtain the desired parameter with only one-shot experimental data. Here, by relating the conventional PID controller to the internal model controller (IMC), we show that PID parameters obtained...

Post-silicon tuning is attracting a lot of attention for coping with increasing process variation. However, its tuning cost via testing is still a crucial problem. In this paper, we propose tuning-friendly body bias clustering with multiple bias voltages. The proposed method provides a small set of compensation levels so that the speed and leakage current vary monotonically according to the lev...

We propose two methods for tuning membership functions of a kernel fuzzy classifier based on the idea of SVM (support vector machine) training. We assume that in a kernel fuzzy classifier a fuzzy rule is defined for each class in the feature space. In the first method, we tune the slopes of the membership functions at the same time so that the margin between classes is maximized under the const...

This paper describes the development and tuning methods for a novel self-organizing fuzzy proportional integral derivative (PID) controller. Before applying fuzzy logic, the PID gains are tuned using a conventional tuning method. At supervisory level, fuzzy logic readjusts the PID gains online. In the first tuning method, fuzzy logic at the supervisory level readjusts the three PID gains during...