Design of PID controller based on a self-adaptive state-space predictive functional control using extremal optimization method

Lu, Kuang Lieh; Zhou, Wuneng; Zeng, Guo‐Qiang; Du, Wei

doi:10.1016/j.jfranklin.2017.12.034

Cited by 50 publications

(24 citation statements)

References 51 publications

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“…Second, the response speed of the PI controllers should be tuned slower than the primary-level controllers. It should be noted that these PI controllers can also be tuned using some swarm intelligence algorithms [40,41]. Although those algorithms may improve the performance of the PI controllers, they are complex and time consuming.…”

Section: Simulation Studiesmentioning

confidence: 99%

Distributed Economic Power Dispatch and Bus Voltage Control for Droop-Controlled DC Microgrids

Zeng

Gao

et al. 2019

Energies

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This paper proposes a distributed economic power dispatch (EPD) and bus voltage control solution for droop-controlled DC microgrids. For the proposed solution, a local power controller and a local voltage controller are added for each distributed generator (DG) to overcome the limitations of the conventional droop control. The power controller generates the first voltage correction term by comparing the local output power of DG with the reference instruction generated by the proposed distributed EPD algorithm, and thus, it can reduce the operation cost of the microgrid by optimally sharing the load demand among all the participating DGs. The voltage controller generates the second voltage correction term by comparing the nominal DC bus voltage value with the average bus voltage generated by the proposed distributed average bus voltage observation (ABVO) algorithm, and thus, it can realize the global bus voltage regulation of the DC microgrid. In contrast with conventional solutions, the control solution can distribute the computational and communication burdens among all the DGs working in parallel, which is more flexible, scalable, and robust against single-point failure. The effectiveness of the proposed control solution is demonstrated through simulation studies.

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Section: Simulation Studiesmentioning

confidence: 99%

Distributed Economic Power Dispatch and Bus Voltage Control for Droop-Controlled DC Microgrids

Zeng

Gao

et al. 2019

Energies

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“…If we write the equation according to the first design constraint equation 23Arg According to the second design constraint equation (24)…”

Section: Mathematical Model Of Bipv/wt Systemmentioning

confidence: 99%

Application of fractional-order voltage controller in building-integrated photovoltaic and wind turbine system

Gül

Tan

2019

Measurement and Control

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The share of electricity generation based on clean, inexhaustible and continuous energy sources, such as solar and wind, in total energy production, is rising day by day due to its significant advantages such as having the less negative impact on global climate and environmental pollution and not requiring fuel for energy production. It is reported that commercial and residential buildings correspond to about 20.1% of the world energy consumption, so it is necessary to provide energy needs of buildings with hybrid renewable energy systems. When using non-continuous energy sources such as solar panel and wind turbines, it is important to ensure ensuring a stable and quality power flow to the building while the power demands of building show very sharp variability. This work presents a voltage control system using fractional-order operators in the smart residential building-integrated hybrid renewable power plant (solar + wind). In this research article, fractional-order proportional–integral/proportional–integral–derivative controllers are proposed on a synchronous frame for a pulse-width modulation based three-phase voltage source inverter in residential building-integrated solar panel and wind turbines system (building-integrated photovoltaic/wind turbine system) in order to improve the quality of injected voltage to building. When comparing the effect of closed-loop voltage control system with integer order controllers (proportional–integral and proportional–integral–derivative) on the power quality at the building distribution by analyzing the simulation results for proposed case study, use of fractional-order voltage controllers for nonlinear system such as building integrated with hybrid renewable sources is more suitable than using integer order voltage controllers.

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“…The tuning rules based on the desired closed-loop response [15], the linear quadratic regulator (LQR) [16] and the probabilistic robustness (PR) [17] are also developed for the PI/PID controller. Some new PID controller synthesis approaches are reported recently [18][19][20][21]. In [18], a PID controller is designed based on the optimal H 2 minimization framework for integrating and double integrating time delay processes.…”

Section: Introductionmentioning

confidence: 99%

“…In [18], a PID controller is designed based on the optimal H 2 minimization framework for integrating and double integrating time delay processes. Lu et al designed a PID controller based on self-adaptive state-space predictive functional control to enhance the ability in rejecting model mismatches and disturbance [19]. In [20], a robust gain-scheduled PID controller design for a linear-parameter-varying (LPV) system with parametric uncertainty is discussed.…”

Section: Introductionmentioning

confidence: 99%

A New PID Controller Design with Constraints on Relative Delay Margin for First-Order Plus Dead-Time Systems

Xue

2019

Processes

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The maximum sensitivity function as the conventional robustness index is often used to test the robustness and cannot be used to tune the controller parameters directly. To reduce analytical difficulties in dealing with the maximum sensitivity function and improve the control performance of the proportional-integral-derivative controller, the relative delay margin as a good alternative is proposed to offer a simple robust analysis for the proportional-integral-derivative controller and the first-order plus dead-time systems. The relationship between the parameters of the proportional-integral-derivative controller and the new pair, e.g., the phase margin and the corresponding gain crossover frequency, is derived. Based on this work, the stability regions of the proportional-integral-derivative controller parameters, the proportional gain and the integral gain with a given derivative gain, are obtained in a simple way. The tuning of the proportional-integral-derivative controller with constraints on the relative delay margin is simplified into an optimal disturbance rejection problem and the tuning procedure is summarized. For convenience, the recommended parameters are also offered. Simulation results demonstrate that the proposed methodology has better tracking and disturbance rejection performance than other comparative design methodologies of the proportional-integral/proportional-integral-derivative controller. For example, the integrated absolute errors of the proposed proportional-integral-derivative controller for the tracking performance and disturbance rejection performance are less than 91.3% and 91.7% of the integrated absolute errors of other comparative controllers in Example 3, respectively. The proposed methodology shows great potential in industrial applications. Besides, the proposed method can be applied to the design of the proportional-integral-derivative controller with filtered derivative which is recommended for practical applications to weaken the adverse influence of the high-frequency measurement noise.

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Design of PID controller based on a self-adaptive state-space predictive functional control using extremal optimization method

Cited by 50 publications

References 51 publications

Distributed Economic Power Dispatch and Bus Voltage Control for Droop-Controlled DC Microgrids

Distributed Economic Power Dispatch and Bus Voltage Control for Droop-Controlled DC Microgrids

Application of fractional-order voltage controller in building-integrated photovoltaic and wind turbine system

A New PID Controller Design with Constraints on Relative Delay Margin for First-Order Plus Dead-Time Systems

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