Implementation of DMC algorithm in embedded controller - resources, memory and numerical modifications

Plamowski, Sebastian

doi:10.1007/978-3-319-60699-6_32

Cited by 7 publications

(5 citation statements)

References 5 publications

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“…At the moment, the MPC algorithms are implemented in FPGAs or efficient microcontrollers [35] and microcontrollers [36,37] to allow real-time performance, or to offer a distributed approach to MPC control of the nuclear power plant turbine set in real time.…”

Section: Model Predictive Controlmentioning

confidence: 99%

Numbers, Please: Power- and Voltage-Related Indices in Control of a Turbine-Generator Set

et al. 2022

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This paper discusses the proper selection and interpretation of aggregated control performance indices values mirroring the quality of electrical energy generation by a turbine-generator set cooperating with a power system. Typically, a set of basic/classical and individual indices is used in energy engineering to ensure the mirroring feature and is related to voltage, frequency and active or reactive power deviations from their nominal values desired in the power system. In this paper, aggregated indices based on the sum of weighted integral indices are proposed, verified and built based on the well-known indices originating from control theory. These include an integral of the squared error (ISE) and an integral of the squared error multiplied by time (ITSE), applicable whenever an in-depth analysis and evaluation of various control strategies of the generation system is to be performed. In the reported research, the computer simulation tests verified their effectiveness in assessing the generated electricity on the example of a turbine-generator set controlled using a predictive control technology as well as applicability, proven by numerous simulation results to take various and different in nature requirements into account efficiently, in the form of a single aggregated index.

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Section: Model Predictive Controlmentioning

confidence: 99%

Numbers, Please: Power- and Voltage-Related Indices in Control of a Turbine-Generator Set

et al. 2022

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“…Almost simultaneously it was applied to catalytic cracking unit and the algorithm was modified to handle nonlinearities and constraints [44]. The algorithm went through several modifications, as for instance Quadratic Dynamic Matrix Control (QDMC) [45] using quadratic programming for solving constrained open-loop optimal control task, where the system is linear, the objective function is quadratic, and the constraints are defined by linear inequalities or the numerically efficient version used in the embedded environment [46]. Discrete-time step response model of the controlled process used for prediction calculation, i.e., finding the values of y m (k + p|k), is the main DMC algorithm feature.…”

Section: General Mpc Rulementioning

confidence: 99%

Performance Assessment of Predictive Control—A Survey

Domański

2020

Algorithms

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Model Predictive Control constitutes an important element of any modern control system. There is growing interest in this technology. More and more advanced predictive structures have been implemented. The first applications were in chemical engineering, and now Model Predictive Control can be found in almost all kinds of applications, from the process industry to embedded control systems or for autonomous objects. Currently, each implementation of a control system requires strict financial justification. Application engineers need tools to measure and quantify the quality of the control and the potential for improvement that may be achieved by retrofitting control systems. Furthermore, a successful implementation of predictive control must conform to prior estimations not only during commissioning, but also during regular daily operations. The system must sustain the quality of control performance. The assessment of Model Predictive Control requires a suitable, often specific, methodology and comparative indicators. These demands establish the rationale of this survey. Therefore, the paper collects and summarizes control performance assessment methods specifically designed for and utilized in predictive control. These observations present the picture of the assessment technology. Further generalization leads to the formulation of a control assessment procedure to support control application engineers.

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“…The aim behind this idea is to retain the desirable features of DMC controller particularly, its high performances for addressing the issue as part of generalized reference-tracking. Despite the deep study and its straightforward implementation in a real application (Plamowski, 2017; Wojtulewicz, 2017), the DMC method is nowhere near to deal with the controlling problems of the switched systems. The theory of the DMC method, as is the case of predictive technique, is based on the prediction of system behavior, which poses many challenges in the case of switched systems.…”

Section: Introductionmentioning

confidence: 99%

Dynamic multi-objective matrix control for a class of switched systems

Thamallah

Sakly

M’Śahli

2021

Transactions of the Institute of Measurement and Control

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This article focuses on the tracking and stabilizing issues of a class of discrete switched systems. These systems are characterized by unknown switching sequences, a non-minimum phase, and time-varying or dead modes. In particular, for those governed by an indeterminate switching signal, it is very complicated to synthesize a control law able to systematically approach general reference-tracking difficulties. Taking into account the difficulty to express the dynamic of this class of systems, the present paper presents a new Dynamic matrix control method based on the multi-objective optimization and the truncated impulse response model. The formulation of the optimization problem aims to approach the general step-tracking issues under persistent and indeterminate mode changes and to overcome the stability problem along with retaining as many desirable features of the standard dynamic matrix control (DMC) method as possible. In addition, the formulated optimization problem integrates estimator variables able to manipulate the optimization procedure in favor of the active mode with an appropriate adjustment. It also provides a progressive and smooth multi-objective control law even in the presence of problems whether in subsystems or switching sequences. Finally, simulation examples and comparison tests are conducted to illustrate the potentiality and effectiveness of the developed method.

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Implementation of DMC algorithm in embedded controller - resources, memory and numerical modifications

Cited by 7 publications

References 5 publications

Numbers, Please: Power- and Voltage-Related Indices in Control of a Turbine-Generator Set

Numbers, Please: Power- and Voltage-Related Indices in Control of a Turbine-Generator Set

Performance Assessment of Predictive Control—A Survey

Dynamic multi-objective matrix control for a class of switched systems

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