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linear quadratic regulator (LQR) 2

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A hybrid LQR-PID control design for seismic control of buildings equipped with ATMD

Amir Hossein HEIDARI, Sadegh ETEDALI, Mohamad Reza JAVAHERI-TAFTI

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 1,   Pages 44-57 doi: 10.1007/s11709-016-0382-6

Abstract: combining the idea of proportional-integral-derivative (PID) controller and linear quadratic regulator (LQRThe proposed LQR-PID controller, while having the advantage of the classical PID controller, is easyConsidering four earthquakes, the performance of the proposed LQR-PID controller is evaluated.Then, the results are compared with those given by a LQR controller.The simulation results indicate that the LQR-PID performs better than the LQR controller in reduction

Keywords： seismic control     tuned mass dampers     cuckoo search     PID controller     LQR controller    

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A Control System Based on the Lagrange Modeling Method for a Single Link Rotary Inverted Pendulum

Wu Aiguo,Zhang Xiaoming,Zhang Zhao

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 11-15

Abstract: In addition, linear quadratic regulator (LQR) is designed and implemented on the RIP system by successfully

Keywords： rotary inverted pendulum     Lagrange method     LQR control strategy    

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Vehicle roll stability control with active roll-resistant electro-hydraulic suspension

Lijun XIAO, Ming WANG, Bangji ZHANG, Zhihua ZHONG

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1,   Pages 43-54 doi: 10.1007/s11465-019-0547-9

Abstract: This study examines roll stability control for vehicles with an active roll-resistant electro-hydraulic suspension (RREHS) subsystem under steering maneuvers. First, we derive a vehicle model with four degrees of freedom and incorporates yaw and roll motions. Second, an optimal linear quadratic regulator controller is obtained in consideration of dynamic vehicle performance. Third, an RREHS subsystem with an electric servo-valve actuator is proposed, and the corresponding dynamic equations are obtained. Fourth, field experiments are conducted to validate the performance of the vehicle model under sine-wave and double-lane-change steering maneuvers. Finally, the effectiveness of the active RREHS is determined by examining vehicle responses under sine-wave and double-lane-change maneuvers. The enhancement in vehicle roll stability through the RREHS subsystem is also verified.

Keywords： electro-hydraulic suspension     roll stability     LQR     experiment    

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A linear quadratic regulator control of a stand-alone PEM fuel cell power plant

Amar BENAISSA, Boualaga RABHI, Ammar MOUSSI, Dahmani AISSA

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 62-72 doi: 10.1007/s11708-013-0291-5

Abstract: This paper introduces a technique based on linear quadratic regulator (LQR) to control the output voltage

Keywords： modeling of proton exchange membrane fuel cell (PEMFC)     controlling of PEMFC     linear quadratic regulator (LQR    

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Load shedding scheme for the two-area system with linear quadratic regulator

D. TYAGI, Ashwani KUMAR, Saurabh CHANANA

Frontiers in Energy 2013, Volume 7, Issue 1,   Pages 90-102 doi: 10.1007/s11708-012-0224-8

Abstract: : the scheme with a conventional integral controller; the scheme with a linear quadratic regulator (LQR); and the scheme with an LQR and superconducting magnetic energy storage devices (SMES).

Keywords： response     load shedding (LS)     multi-area system     rate of change of frequency     linear quadratic regulator (LQR    

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Active steering control strategy for articulated vehicles Project supported by the Program for Changjiang Scholars and Innovative Research Team in University, China (No. IRT0626) Article

Kyong-il KIM,Hsin GUAN,Bo WANG,Rui GUO,Fan LIANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 6,   Pages 576-586 doi: 10.1631/FITEE.1500211

Abstract: steering controller, including tractor and trailer controllers, based on linear quadratic regulator (LQRThen the active steering controller of the tractor and trailer based on LQR is designed to follow the

Keywords： Articulated vehicle     Sharp curve     Lateral stability     Linear quadratic regulator (LQR)    

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Flight control for air-breathing hypersonic vehicles using linear quadratic regulator design based on stochastic robustness analysis Article

Lin CAO, Shuo TANG, Dong ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 882-897 doi: 10.1631/FITEE.1601363

Abstract: In this paper, we propose a linear-quadratic regulator (LQR) design method based on stochastic robustnessThen, the mapping rela-tionship between system robustness and LQR parameters is established.robustness, a novel hybrid particle swarm optimization algorithm is proposed to search for the optimal LQRsimulation results show that the optimization algorithm can effectively find the optimal solution to the LQR

Keywords： Air-breathing hypersonic vehicles (AHVs)     Stochastic robustness analysis     Linear-quadratic regulator (LQR    

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Optimization of formation for multi-agent systems based on LQR

Chang-bin Yu, Yin-qiu Wang, Jin-liang Shao,brad.yu@anu.edu.au,wh6508@gmail.com,jinliangshao@126.com

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2,   Pages 96-109 doi: 10.1631/FITEE.1500490

Abstract: In this paper, three optimal linear algorithms are proposed for first-order linear from a perspective with cost functions consisting of both interaction energy cost and individual energy cost, because both the collective object (such as formation or consensus) and the individual goal of each agent are very important for the overall system. First, we propose the optimal formation algorithm for first-order without initial physical couplings. The parameter matrix of the algorithm is the solution to an . It is shown that the matrix is the sum of a Laplacian matrix and a positive definite diagonal matrix. Next, for physically interconnected , the optimal formation algorithm is presented, and the corresponding parameter matrix is given from the solution to a group of quadratic equations with one unknown. Finally, if the communication topology between agents is fixed, the local feedback gain is obtained from the solution to a quadratic equation with one unknown. The equation is derived from the derivative of the cost function with respect to the local feedback gain. Numerical examples are provided to validate the effectiveness of the proposed approaches and to illustrate the geometrical performances of .

Keywords： Linear quadratic regulator (LQR)     Formation control     Algebraic Riccati equation (ARE)     Optimal control    

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Title Author Date Type Operation

A hybrid LQR-PID control design for seismic control of buildings equipped with ATMD

Amir Hossein HEIDARI, Sadegh ETEDALI, Mohamad Reza JAVAHERI-TAFTI

Journal Article

A Control System Based on the Lagrange Modeling Method for a Single Link Rotary Inverted Pendulum

Wu Aiguo,Zhang Xiaoming,Zhang Zhao

Journal Article

Vehicle roll stability control with active roll-resistant electro-hydraulic suspension

Lijun XIAO, Ming WANG, Bangji ZHANG, Zhihua ZHONG

Journal Article

A linear quadratic regulator control of a stand-alone PEM fuel cell power plant

Amar BENAISSA, Boualaga RABHI, Ammar MOUSSI, Dahmani AISSA

Journal Article

Load shedding scheme for the two-area system with linear quadratic regulator

D. TYAGI, Ashwani KUMAR, Saurabh CHANANA

Journal Article

Active steering control strategy for articulated vehicles Project supported by the Program for Changjiang Scholars and Innovative Research Team in University, China (No. IRT0626)

Kyong-il KIM,Hsin GUAN,Bo WANG,Rui GUO,Fan LIANG

Journal Article

Flight control for air-breathing hypersonic vehicles using linear quadratic regulator design based on stochastic robustness analysis

Lin CAO, Shuo TANG, Dong ZHANG

Journal Article

Optimization of formation for multi-agent systems based on LQR

Chang-bin Yu, Yin-qiu Wang, Jin-liang Shao,brad.yu@anu.edu.au,wh6508@gmail.com,jinliangshao@126.com

Journal Article