Design and Application of a Database-Driven PID Controller with Data-Driven Updating Algorithm

Abstract

This study deals with an updating algorithm for a database-driven proportional-integral-derivative (DD-PID) controller that uses a database for tuning control parameters. PID controllers are still used in many process systems including chemical processes. However, if systems exhibit nonlinearity, PID controllers with fixed PID parameters cannot achieve the desired control performance when the systems' equilibrium points are changed by set point changes. The DD-PID controller has been proposed to solve this problem. This controller can realize good control performance for nonlinear systems because it updates the PID parameters in its database so that the control performance around each equilibrium point has a desired characteristic. However, many experiments have to be performed for this controller to obtain a suitable database. This paper proposes a new offline database updating method called data-driven extended fictitious reference iterative tuning (DD-E-FRIT) method. In this method, the E-FRIT method, which is a direct control parameter tuning method for the linear system, is applied to the updating rule of the DD-PID controller. The DD-E-FRIT method can update a database offline and obtain the database for realizing the desired tracking property of a closed-loop system by storing one-shot operating data into the database.

Extension of a Database‐Driven PID Control System

“…Using input/output data (u and y) in an initial experiment and the reference signal r, the conventional scheme of database-driven PID control [1] was applied, where the PID parameters were trained based on the offline learning scheme [2]. In the conventional scheme, inputs/outputs data other than the main loop are not stored in the information vector of database.…”

Design of a Database-Driven Excavation Assist Controller Based on the Velocity of the Center-of-Mass for a Hydraulic Excavator

“…Further details on the aforementioned partial differential equation can be found elsewhere [22]. The updated control parameters are calculated as K new (t) and replaced with the control parameters of the neighborhood data in the database.…”

“…In addition, as the system characteristics of hydraulic excavators are nonlinear, a database-driven excavation controller that sequentially updates the controller parameters according to the operating point to achieve the desired excavation operation is proposed [20]. The database is learned offline using the fictitious reference iterative tuning (FRIT) method [21], [22]. The effectiveness of the proposed method was verified using a hydraulic excavator.…”

A Look-Up Table Based Fractional Order Composite Controller Synthesis Method for the PMSM Speed Servo System

“…With high power density and efficiency, the permanent magnet synchronous motor (PMSM) has been widely used in modern industrial applications, e.g., numerical control machines and industrial robots. It is widely known that the proportional-integral-derivative (PID) control approach is the most widely used in the industrial field, because of its simple implementation and clear physical meaning in control engineering [1]. However, in actual applications, the PMSM servo system is unavoidably faced with various uncertainties and disturbances [2,3].…”