INtERCEDE: An algorithmic approach to networked control system design

Senol, Sinan; Leblebi̇ci̇oğlu, Kemal; Schmidt, Ece Güran

doi:10.1016/j.jnca.2011.03.018

Cited by 3 publications

(1 citation statement)

References 43 publications

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“…Sensors collect environmental information, the controller makes decisions according to the sensor information, and the actuators interact with the environment and carry out appropriate actions based on the instructions of the controller. WNCS has the same advantages as typical networked control systems (Huo et al, 2011;Montestruque andAntsaklis, 2044;Senol et al, 2011;Zhang et al, 2001). For example, it can implement remote monitoring and control of a physical plant.…”

Section: Introductionmentioning

confidence: 99%

Wireless networked learning control system based on Kalman filter and biogeography-based optimization method

Fei

Yang

et al. 2013

Transactions of the Institute of Measurement and Control

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This paper proposes a biogeography-based optimization (BBO) method augmented with a Kalman filter, which is called KFBBO, for PID parameter tuning in a wireless networked learning control system (WNLCS). Because of unreliable transmission of data and commands in wireless networks, the control system is noisy and prone to errors, which results in poor performance by the conventional PID method for wireless networked control in realworld applications. BBO as a new evolutionary optimization is proposed to solve this problem by dynamically optimizing the PID control parameters. Because the wireless network environment is noisy, we also use a Kalman filter to counteract the negative effects of noise and to improve the optimization ability of BBO. Simulation experiments are conducted to evaluate our proposed KFBBO, and the results indicate that the control performance obtained by the improved PID method is better than the conventional PID method. Furthermore, this proposed method is applied to a steam turbine power generation system based on a WNLCS, and the results show its feasibility and effectiveness.

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Section: Introductionmentioning

confidence: 99%