Demand-side energy management by use of a design-then-approximate controller for aggregated thermostatic loads

Ghanavati, Meysam; Chakravarthy, Animesh

doi:10.1109/acc.2015.7171900

Cited by 13 publications

(13 citation statements)

References 8 publications

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“…In addition, a state space model of the VSA, which considers the parameter uncertainties, the unknown friction torques acting on the driving components, the unknown external disturbance acting on the output link, and the input saturation constraints, is not found in . The robust tracking control problems for other types of systems (non‐VSAs) are addressed in . For this class of VSAs based on the variable lever arm mechanisms, considering the parametric uncertainties of the dynamic model, the unknown friction torques, the unknown external disturbance, and the input saturation constraints, it is necessary to design the robust tracking control scheme that simultaneously regulates the position and stiffness of the VSA.…”

Section: Introductionmentioning

confidence: 99%

Robust Tracking Control Of The Variable Stiffness Actuator Based On The Lever Mechanism

Guo

Tian

2018

Asian Journal of Control

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This paper is concerned with the design of a robust adaptive tracking control scheme for a class of variable stiffness actuators (VSAs) based on the lever mechanisms. For these VSAs based on the lever mechanisms, the AwAS‐II developed at Italian Institute of Technology (IIT) is chosen as the study object, and it is an enhanced version of the original realization AwAS (actuator with adjustable stiffness). Firstly, for the dynamic model of the AwAS‐II system in the presence of parametric uncertainties, unknown bounded friction torques, unknown bounded external disturbance and input saturation constraints, by using the coordinate transformations and the static state feedback linearization, the state space model of the AwAS‐II system with composite disturbances and input saturation constraints is transformed into an uncertain multiple‐input multiple‐output (MIMO) linear system with lumped disturbances and input saturation constraints. Subsequently, a combination of the feedback linearization, disturbance observer, sliding mode control and adaptive input saturation compensation law is adopted for the design of the robust tracking controller that simultaneously regulates the position and stiffness of the AwAS‐II system. Under the proposed controller, the semi‐global uniformly ultimately bounded stability of the closed‐loop system has been proved via Lyapunov stability analysis. Simulation results illustrate the effectiveness and the robustness of the proposed robust adaptive tracking control scheme.

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Section: Introductionmentioning

confidence: 99%

Robust Tracking Control Of The Variable Stiffness Actuator Based On The Lever Mechanism

Guo

Tian

2018

Asian Journal of Control

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“…To this end, it is important for EMS to take the behavior of the electric part as well as the future driving trajectory into consideration. A model predictive controller (MPC) can provide a suitable frame‐work for consideration of all objectives to predict the unknown future load demand of the vehicle .…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Model Predictive Control for Parallel Hybrid Electrical Vehicles

Song

et al. 2018

Asian Journal of Control

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One purpose of the control strategy for a parallel hybrid electric vehicle (PHEV) is to control the state of charge (SOC) of the battery to achieve a maximum powertrain efficiency. Because of the nonlinearity of the powertrain, the control strategy should implement nonlinear optimization in real time. This paper presents a new hierarchical optimal control design to execute real-time optimization on the basis of a model predictive control concept. The proposed control architecture suggests a two-layer control subjected to the related constraints according to the changing rate of different parameters. The prime controller optimizes the best trajectory of the state of charge according to the load detected by a load prediction module, while the second controller will apply the output signal from the prime controller along with the signal from the prediction module and the driver inputs to control the powertrain. Additionally, a new methodology to predict the future load imposed on the wheels is introduced. Through simulation and experiment results, it is shown that the proposed prediction control can effectively reduce fuel consumption and exhaust emission.

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“…Figure 2 shows the block diagram of the fuzzy controller described in (20). The mentioned structure in (20) will be also used to design the tracking controller in y and z-direction. In the next step of the fuzzy controller design, the fuzzy rules should be defined.…”

Section: 1fuzzy Pd Controller Designmentioning

confidence: 99%

“…The majority of nonlinear control designs are based on the Lyapunov theory [17][18][19][20][21]. Voos introduced a feedback linearization (FBL) controller based on decomposing the dynamic to a nested structure which was implemented on a microcontroller [22].…”

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confidence: 99%

Robust Nonlinear Fuzzy Formation Control of Unmanned Quadrotors

Khakshour¹,

Nourani²

2017

IJCA

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A novel leader-following strategy based on fuzzy logic is introduced to design a formation flight controller for unmanned quadrotors. The proposed strategy uses particle swarm optimization (PSO) to optimize the fuzzy membership function in the guidance law, and a nonlinear dynamic inversion (NDI) controller is designed to control the nonlinear dynamics of the quadrotor. The simulation results show the proposed method has significant advantages in comparison with conventional leading-following strategies in terms of robustness against wind gusts, uncertainties, and unknown dynamics.

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Demand-side energy management by use of a design-then-approximate controller for aggregated thermostatic loads

Cited by 13 publications

References 8 publications

Robust Tracking Control Of The Variable Stiffness Actuator Based On The Lever Mechanism

Robust Tracking Control Of The Variable Stiffness Actuator Based On The Lever Mechanism

Hierarchical Model Predictive Control for Parallel Hybrid Electrical Vehicles

Robust Nonlinear Fuzzy Formation Control of Unmanned Quadrotors

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