Deux améliorations concurrentes des PID

Abstract

Aujourd'hui, « commande sans modèle », ou « MFC », et « commande par rejet actif de perturbations », ou « ADRC », sont les approches les plus en vue pour préserver les avantages des PID, si populaires dans l'industrie, tout en atténuant leurs carences. Après un bref rappel sur MFC et ADRC, plusieurs exemples démontrent la supériorité du sans-modèle car permettant d'embrasser une classe beaucoup plus vaste de systèmes. ABSTRACT. In today's literature Model-Free Control, or MFC, and Active Disturbance Rejection Control, or ADRC, are the most prominent approaches in order to keep the benefits of PID controllers, that are so popular in the industrial world, and in the same time for attenuating their severe shortcomings. After a brief review of MFC and ADRC, several examples show the superiority of MFC, which permits to tackle most easily a much wider class of systems. MOTS-CLÉS. PID, commande sans modèle, commande par rejet actif des perturbations, commande par platitude.

Bullwhip effect attenuation in supply chain management via control-theoretic tools and short-term forecasts: A preliminary study with an application to perishable inventories

“…The indisputable practical successes (see [2], [11], the numerous references therein, and [3], [6], [12], [13], [14], [39], [47], [50], [53], [54], [74], [58], [59], [66], [71], [83], [84]) of model-free control [29] explains why it has already been summarized recently many times: [5], [8], [11], [30], [50]. It will therefore not be repeated here.…”

Model-free control for VSC-based HVDC systems

“…2) The whole control of converter S1 is synthesized with a multivariable (for P and Q 1 control) model-free control. Remark 4.1: The multivariable extension of Section III is straightforward (see [16], [17], and [5]).…”

“…In order to avoid these difficulties related to the size of the control model, a recently developed methodology called "model-free control" [4], [5] is used here. Indeed, this approach does not need a large-scale precise mathematical model since the system is represented by an ultra-local loworder (first or second order) differential equation.…”

Study of an improved single neuron PID control algorithm in the Tokamak plasma density control system

“…17,18 In recent years, to avoid difficulties related to the control model, a recent methodology, model-free control, is developed and widely used. 19,20 In this method, the control system is represented by an ultra-local low-order (mostly, first or second-order) differential equation, therefore, this approach with input-output data-driven does not need a large-scale precise mathematical model. This control strategy allows the synthesis of a simple PID controller type, which has already been successfully applied in many fields, such as power electronics control systems, 21 and vehicle control.…”