scholarly journals Model predictive control of room temperature with disturbance compensation

2017 ◽  
Vol 68 (4) ◽  
pp. 312-317
Author(s):  
Jozef Kurilla ◽  
Peter Hubinský
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Room Temperature ◽  
Disturbance Compensation ◽  
Computing Power ◽  
Single Input Single Output ◽  
Single Output ◽  
Single Input ◽  
Weighting Coefficients ◽  
Occupancy Profile

AbstractThis paper deals with temperature control of multivariable system of office building. The system is simplified to several single input-single output systems by decoupling their mutual linkages, which are separately controlled by regulator based on generalized model predictive control. Main part of this paper focuses on the accuracy of the office temperature with respect to occupancy profile and effect of disturbance. Shifting of desired temperature and changing of weighting coefficients are used to achieve the desired accuracy of regulation. The final structure of regulation joins advantages of distributed computing power and possibility to use network communication between individual controllers to consider the constraints. The advantage of using decoupled MPC controllers compared to conventional PID regulators is demonstrated in a simulation study.

Multi-dimensional Taylor network adaptive predictive control for single-input single-output nonlinear systems with input time-delay

2021 ◽  
pp. 014233122110402
Author(s):  
Chen-Long Li ◽  
Hong-Sen Yan ◽  
Jiao-Jun Zhang
Keyword(s):  
Time Delay ◽  
Nonlinear Systems ◽  
Predictive Control ◽  
Tracking Control ◽  
Recursive Least Squares ◽  
Single Input Single Output ◽  
Single Output ◽  
Single Input ◽  
Input Time ◽  
Adaptive Predictive Control

In this study, an adaptive predictive control approach based on the multi-dimensional Taylor network (MTN) is proposed for the real-time tracking control of single-input single-output nonlinear systems with input time-delay. Two MTNs are used to implement the accurate tracking control. First, to compensate for the influence of time-delay, MTN is taken as a predictor and the damped recursive least squares algorithm is used as its online learning algorithm. Second, a feed-forward MTN controller is developed on the basis of the proportional–integral–derivative controller, and the closed-loop errors between the reference input and the system output are directly chosen to be the MTN controller’s inputs. The back propagation algorithm is introduced for its learning which can update its weights online at stable learning rate by the errors caused by the system’s uncertain factors. Convergence and stability analysis are given to guarantee the performance of our proposed approach. Finally, two examples are given to verify the effectiveness of the proposed approach.

Predictive Control of Linear Stationary Stochastic Systems with Constraints

2011 ◽  
Vol 403-408 ◽  
pp. 4949-4956
Author(s):  
Enes Saletović ◽  
Tadej Mateljan
Keyword(s):  
Control Problem ◽  
Predictive Control ◽  
Stochastic Systems ◽  
Single Input Single Output ◽  
Active Constraints ◽  
Single Output ◽  
Universal Solution ◽  
Single Input ◽  
Siso Systems

Within the frame of this work, the problem of control of LSS (Linear Stationary Stochastic) SISO (Single Input Single Output) systems with active constraints at input and/or output has been researched. Motivation to solving this problem comes from the fact that there is no universal solution to the problem even LSS SISO systems with constraints are very common in practice. Defined control problem is solved using characteristics of LSS SISO systems and square forms. Considering that such systems are very common in practice, created solution would be widely applicable.

Comparative analysis of SISO and wavelength diversity-based FSO systems at different transmitter power levels

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Varun Srivastava ◽  
Abhilash Mandloi ◽  
Dhiraj Kumar Patel
Keyword(s):  
Optical Signal ◽  
Free Space Optical ◽  
Optical Source ◽  
Transmit Power ◽  
Single Input Single Output ◽  
Transmitter Power ◽  
Single Output ◽  
Communication Links ◽  
Single Input ◽  
Matching Performance

AbstractFree space optical (FSO) communication refers to a line of sight technology, which comprises optical source and detector to create a link without the use of physical connections. Similar to other wireless communication links, these are severely affected by losses that emerged due to atmospheric turbulence and lead to deteriorated intensity of the optical signal at the receiver. This impairment can be compensated easily by enhancing the transmitter power. However, increasing the transmitter power has some limitations as per radiation regulations. The requirement of high transmit power can be reduced by employing diversity methods. This paper presents, a wavelength-based diversity method with equal gain combining receiver, an effective technique to provide matching performance to single input single output at a comparatively low transmit power.

Sign in / Sign up

Export Citation Format

Share Document