A stabilized Distributed MPC for large scale system is proposed and its designation is given in this paper for improving the global performance of closed-loop system. To make the performance of closed-loop system more...
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This paper investigates variation of infinite horizon (IH) performance of Model Predictive control (MPC) without constraints as the optimization horizon changes. By exploring properties of the Difference Riccati Equat...
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This paper focuses on the admissibility condition for fractional-order singular system with order α∈(0, 1). The definitions of regularity, impulse-free and admissibility are given first, then a sufcient and necessar...
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This paper focuses on the admissibility condition for fractional-order singular system with order α∈(0, 1). The definitions of regularity, impulse-free and admissibility are given first, then a sufcient and necessary condition of admissibility for fractional-order singular system is established. A numerical example is included to illustrate the proposed condition.
In this paper, an autopilot system for the quadrotor unmanned aerial vehicle (UAV) is developed by utilizing a digital signal processor (DSP) as the on-board micro-control unit (MCU). The hardware setup and the softwa...
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In this paper, an autopilot system for the quadrotor unmanned aerial vehicle (UAV) is developed by utilizing a digital signal processor (DSP) as the on-board micro-control unit (MCU). The hardware setup and the software are also developed for the autonomous flight control of the UAV. The main design procedure includes the controller board design, brushless DC motor driver design, sensor data processing software design, and flight control algorithm design. The control algorithm is developed based on the inner loop and outer loop control method. Proportional Derivative (PD) controllers are proposed for the attitude dynamics (inner loop) and position dynamics (outer loop) respectively. Autonomous hovering control is achieved via the control of roll angle, pitch angle, yaw angle and altitude of the UAV. Experiments results are included to demonstrate the hovering control performance.
To provide a safe and efficient test for the autonomous control design of the unmanned helicopter, a 3 degree-of-freedom (DOF) helicopter testbed is developed in this paper. The testbed uses a small electric hobby hel...
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To provide a safe and efficient test for the autonomous control design of the unmanned helicopter, a 3 degree-of-freedom (DOF) helicopter testbed is developed in this paper. The testbed uses a small electric hobby helicopter as the main body, a digital signal processsor (DSP) is employed as the on-board micro control unit (MCU) for the attitude control of the helicopter, a micro attitude and heading reference system (AHRS) is utilized as the main on-board sensor for attitude states feedback and a Bluetooth module is mounted on the testbed to provide realtime wireless communication between the helicopter and the ground control station (GCS). This paper investigates the servo actuators coordinated control method with separate channel of the new-style electric helicopter, which is named as electronic collective-cyclic pitch mixing (ECCPM). A modified digital incremental PID control algorithm which is free of servo actuators saturation issue is proposed for the attitude control of the helicopter. Finally, experiment results are provided to verify the testbed and control design.
Building simulation models play a vital role in optimal building climate control, energy audit, fault detection and diagnosis, continuous commissioning, and planning. Real system parameters are often unknown or partia...
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Simulator for smart wheelchairs is of great significance for both driver training and algorithm design. A development and simulation platform for wheelchairs is presented in this paper. On this platform, simulations o...
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Human interest input could greatly enhance the efficiency of the multi-robot exploration. However, most of the previous work did not take the intention of the operator into account. In this paper, a human interest ori...
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ISBN:
(纸本)9781479927456
Human interest input could greatly enhance the efficiency of the multi-robot exploration. However, most of the previous work did not take the intention of the operator into account. In this paper, a human interest oriented multi-robot exploration system is designed. The system is composed of a mobile base station and several robot explorers. A human interest oriented task allocation method is developed to enable these robot explorers to coordinate based on the operator's intention. Furthermore, an optimization index is proposed to balance the obedience, connectivity and explorability of the system; and the optimization problem is solved to generate the movements of the mobile base station and the robot explorers. Simulations and real-world experiments have demonstrate the effectiveness of the system and the efficiency of the exploration process.
In this paper, we present a gain-scheduling distributed model predictive control (MPC) algorithm for polytopic uncertain systems subject to actuator saturation. A large-scale system is decomposed into subsystems and s...
In this paper, we present a gain-scheduling distributed model predictive control (MPC) algorithm for polytopic uncertain systems subject to actuator saturation. A large-scale system is decomposed into subsystems and sub-controllers are designed independently. An invariant set condition is provided and a min-max distributed MPC strategy is proposed based on the invariant set. The distributed MPC controller is determined by solving a linear matrix inequality (LMI) optimization problem. An iterative algorithm is provided to coordinate the sub-controllers. A numerical example is carried out to demonstrate the effectiveness of the proposed algorithm.
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