Novel Adaptive MPC Design for Uncertain MIMO Discrete-time LTI Systems with Input Constraints

Dhar, Abhishek; Bhasin, Shubhendu

doi:10.23919/ecc.2018.8550217

Cited by 9 publications

(2 citation statements)

References 7 publications

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“…The general objective of control laws is to design a control signal to ensure energy optimization by minimizing control value and improving system performance despite external climatic conditions variations and uncertainties due to the building's physical degradation [18], [19]. In practice, as for any physical system, the thermal building system is subjected to constraints on input/output signals imposed by the available actuator power and indoor conditions which be acceptable to occupants.…”

Section: Constrained Mpc Design 31 Objectives and Motivationmentioning

confidence: 99%

A constrained model predictive control for the building thermal management with optimal setting design

Boutchich

Moufid

Bennis

2023

IJECE

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<span lang="EN-US">Today, the building sector is the most important consumer of energy. The main challenge in building management is to obtain the desired performance taking into account many aspects such as comfort requirements, variation of building physical characteristics, system constraints, and energy management. For this purpose, a predictive control approach applied to the building thermal has been designed to achieve desired performances combined with an energy optimization approach based on intrinsic system parameters. The developed approach is applied with an online identification system for effective predictive control to take into account the reel building characteristics and to choose the optimal tuning parameters. The simulation results show good performances in terms of accuracy and robustness face to internal and external disturbances with respect to system constraints.</span>

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Section: Constrained Mpc Design 31 Objectives and Motivationmentioning

confidence: 99%

A constrained model predictive control for the building thermal management with optimal setting design

Boutchich

Moufid

Bennis

2023

IJECE

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“…Any errors or uncertainties in the model or noise statistics can result in the suboptimal performance of the LQG controller. MPC has been extensively studied for MIMO systems in the literature [14][15]. Several authors have proposed methods to reduce the computational burden of MPC, such as using reduced-order models or parallel computing.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Mimo Systems With Universal Controller

Mohammed A. Ali,

Vodichev

2023

ELTECS

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Abstract. The control of multi-input multi-output (MIMO) systems poses significant challenges due to the intricate dynamics and interactions between multiple input and output channels. This paper presents a simulation study on MIMO systems control using the universal control technique. The proposed method offers a versatile framework for regulating MIMO systems with varying dynamics, utilizing a single control algorithm. The underlying concept of the universal control law is to devise a set of principles or strategies that can be universally applied to any system, regardless of its specific characteristics or parameters. To achieve this, the control algorithm is designed based on the derivatives balance of the system's input-output dynamics, granting the controller adaptability to both single-input single-output (SISO) and MIMO systems. Numerical examples are provided to demonstrate the effectiveness of the proposed method, involving a MIMO system comprising four inputs in a two-coupled distillation column process and two inputs in a twin rotor setup. The challenges associated with distillation column control, such as nonlinearity, disturbances, and interaction between multiple inputs and outputs, are considered. Twin rotor systems, consisting of two interconnected rotors, pose unique control difficulties, primarily arising from the coupling between the two rotors and their nonlinear behavior. The simulation results show the capability of the proposed universal controller to achieve precise and robust control over the MIMO system. Keywords: MIMO, Control, Simulation, Distillation Column Process, Twin Rotor.

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Tube based Adaptive Model Predictive Control

Dhar

Bhasin

2019

2019 IEEE 58th Conference on Decision and Control (CDC)

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Novel Adaptive MPC Design for Uncertain MIMO Discrete-time LTI Systems with Input Constraints

Cited by 9 publications

References 7 publications

A constrained model predictive control for the building thermal management with optimal setting design

A constrained model predictive control for the building thermal management with optimal setting design

Modeling of Mimo Systems With Universal Controller

Tube based Adaptive Model Predictive Control

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