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Journal articles on the topic 'Bang-Bang Controller'

Author: Grafiati

Published: 5 June 2025

Last updated: 24 June 2025

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1

Bae, Jong-Il. "A Study on The Bang-Bang Controller Applied to Electrical Vehicle." Transactions of The Korean Institute of Electrical Engineers 65, no. 6 (2016): 1089–94. http://dx.doi.org/10.5370/kiee.2016.65.6.1089.

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2

DeSantis, R. M., and S. Krau. "Bang bang motion control of a Cartesian crane." Robotica 12, no. 5 (1994): 449–54. http://dx.doi.org/10.1017/s0263574700018002.

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SUMMARYA motion controller for an overhead Cartesian crane in three-dimensional Euclidean (3-D) space is designed under the constraint that the control action belong to a discrete set of assigned values. The design approach rests upon a two-step procedure: first, a constraintfree motion controller is determined that satisfies the required dynamic specifications; second, this controller is replaced with an equivalent controller satisfying the discrete action constraint. The first step is implemented by means of a heuristic 3-D extension of a well-proven 2-D controller, the second step by applying recent sliding mode results. Numerical simulations illustrate the properties of the resulting feedback system under both nominal and perturbed operating conditions.

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3

Ojo, Babajide Adelaja, and Najeem Olawale Adelakun. "Implementation of four-wheel antilock braking system for commercial vehicle using bang-bang controller." International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE) 3, no. 6 (2022): 1–7. https://doi.org/10.5281/zenodo.7261783.

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The need for safety equipment that can prevent the wheels of a vehicle from locking up under emergency or harsh braking conditions has prompted the need for the AntiLock Braking System (ABS). However, The Anti-Lock Braking System helps the driver to maintain steering ability and also to avoid skidding while braking. This paper proposes an implementation of a four-wheel antilock braking system (ABS) for vehicle speed estimation using a Bang-bang controller. This will provide greater vehicle stability and control during lock-up to the drivers, reduce stopping distance, and most importantly reduce the collision rate to a lower percentage. The simulation was carried out using MATLAB/SIMULINK to achieve the desired slip ratio with the control scheme using the Bang-Bang controller. Graphs of velocity speed, rotational speed, stopping distance, braking torque for a system without an anti-lock braking system and Bang-bang controller was plotted and compared with each other. The performance of vehicle braking Bang-Bang controller was analysed with Bang-Bang controller mode and the result shows that the ABS with Bang-Bang controller will significantly help the driver to steer while braking heavily and could prove to be lifesaving.

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4

Kanwale, Vaibhav M., Avinash B. Shinde, and N. Vivekanandan. "Comparative Analysis of Controller Effect on Anti-lock Braking System Performance using MATLAB/ Simulink." Journal of Automation and Automobile Engineering 9, no. 2 (2024): 18–42. http://dx.doi.org/10.46610/joaaen.2024.v09i02.003.

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Active safety features aim to avoid or reduce road accidents, in contrast to passive safety features, which are meant to protect occupants after a collision. An Anti-lock Braking System (ABS) is a category of active safety breaking that stops the wheels from locking during a braking action, keeping them in contact with the ground. Different researchers have proposed various control methods for developing the ABS controller. A controller is effective if it reduces stopping distance and time and maintains the desired slip ratio. In this research paper, a quarter-vehicle model is utilized to evaluate the effect of the controller on the Anti-lock Braking System (ABS) and study longitudinal braking dynamics. The Bang-bang controller, Proportional Integral Derivative (PID) controller and the Fuzzy Logic (FL) controller for the ABS were modelled in MATLAB/ Simulink software. A feedback controller that abruptly flips between the two states is called a bang-bang controller, also called an on-off, two-step, or hysteresis controller. PID (Proportional - Integral - Derivative) parameters were obtained using the Ziegler Nichols tuning Method. A comparative analysis of the controllers concerning braking distance, braking time, and normalized relative slip was performed. ABS with the Fuzzy Logic (FL) controller outperforms both the Proportional - Integral - Derivative (PID) and bang-bang controllers.

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5

Chen, Hao. "An Automation Fuzzy Switching Bang-Bang Controller for Industrial Applications." Applied Mechanics and Materials 52-54 (March 2011): 1997–2002. http://dx.doi.org/10.4028/www.scientific.net/amm.52-54.1997.

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In this paper, a fuzzy switching bang-bang controller-based theoretical bang-bang was designed and implemented in the laboratory and its effectiveness in tracking application has been verified. The key advantage is the ease of the design and flexibility. The ability of the fuzzy bang-bang controller to achieve the tracking process with a high degree of accuracy, even in the presence of external disturbance was illustrated. The sensitivity of the proposed controller to rapid load changes in the external load was verified, and very promising results were observed. Experimental results confirmed the effectiveness of the proposed controller in position tracking and robustness to system parameter variations. The fuzzy switching bang-bang controller showed definite promise for this application due to the ability to combine many control laws together in a simple, intuitive manner.

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6

Hackl, Christoph, and Stephan Trenn. "The bang-bang funnel controller: An experimental verification." PAMM 12, no. 1 (2012): 735–36. http://dx.doi.org/10.1002/pamm.201210356.

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7

Lakhemaru, Prashant, and Surya Prasad Adhikari. "Design and Analysis of Vehicle Anti-Lock Braking System with Fuzzy Logic, Bang-Bang and PID Controllers." Himalayan Journal of Applied Science and Engineering 3, no. 1 (2022): 8–17. http://dx.doi.org/10.3126/hijase.v3i1.46941.

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In this study, a mathematical model of Anti-Lock Braking System (ABS) has been developed and simulated in MATLAB/Simulink environment using bang-bang, fuzzy logic and PID controllers. The controllers were used to control the braking force to be applied based on various parameters like relative slip, road condition and coefficient of friction between road and tire. The simulated result was compared and analyzed. The simulation result showed that a PID controller would take 9.665 seconds to stop the vehicle at the distance of 434.902 ft at an initial velocity of 88 ft/s. The Fuzzy Logic, Bang-Bang and no controllers offered 935.298 ft at 16.76 seconds, 696.996 ft at 13.751 seconds and 1421.327 ft at 24.217 seconds, respectively for the same initial velocity and road surface. From analysis, it was concluded that the PID controller had better performance compared to fuzzy logic and bang-bang controllers for application of ABS in a vehicle.

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8

Srikanth, Ajith, Siddhartha De, and Nehaa V. "Comparison between Bang-Bang, PID and LQR Controller for Electrical Discharge Machining Process." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 1194–203. http://dx.doi.org/10.22214/ijraset.2022.45487.

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Abstract: During the Electric Discharge Machining process, ensuring that there is the appropriate amount of spark gap between the tool and the workpiece is one of the most important factors in determining how well the machine will perform. With the assistance of Simulink models, this work will compare the effects of a Bang-Bang Controller, a Proportional-Integral-Derivative (PID) Controller, and a Linear Quadratic Regulator (LQR) Controller on a dynamic EDM process. Through the use of simulation, it was possible to observe the effectiveness of each controller in correctly maintaining the spark gap distance. This effectiveness was then used to determine the approximate values by which the controller could be implemented on the physical EDM setup. In light of the fact that the EDM is a model of a non-linear process, it has been established beyond a reasonable doubt that LQR is the controller of choice for this process. The various controllers for the EDM Process Model were compared, and supporting graphs are provided to strengthen the claims made in the article.

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9

Goh, Yin Lee, Agileswari K. Ramasamy, Farrukh Hafiz Nagi, and Aidil Azwin Zainul Abidin. "DSP based overcurrent relay using fuzzy bang–bang controller." Microelectronics Reliability 51, no. 12 (2011): 2366–73. http://dx.doi.org/10.1016/j.microrel.2011.07.025.

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10

Jiang, Yi, and Jien Ma. "The Research of PID and Bang-Bang Controllers Based on the dSPACE." Applied Mechanics and Materials 416-417 (September 2013): 486–91. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.486.

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This paper analyzes the PID and the Bang-Bang control methods. To compare the performance of these traditional algorithms, the speed control of a brushless DC drive system is implemented in real-time, using these two methods. The parameters in the controller can be adjusted by the hardware and the software to achieve the optimum performance of the closed-loop system. The experiment results proved that these two controllers have their own merit and defect according to the different steady-state performance and dynamic response respectively. It is concluded that the PID and the Bang-Bang controllers could be used in different applications.

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11

Mohammad Amin Rashidifar and Ali Amin Rashidifar. "Using Fuzzy Bang-Bang Relay Controller for a Single-Axis Magnetic Bearing System." Asian Review of Mechanical Engineering 3, no. 1 (2014): 1–11. http://dx.doi.org/10.51983/arme-2014.3.1.2358.

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This paper presents a new type of fuzzy controller for active magnetic bearing applications. Active magnetic bearing (AMB) applications in rotating machinery are fast growing due to their precise and contact less support of the rotating shaft. AMB are open loop unstable due to nonlinear relationship between electromagnetic force,attraction distance and the electromagnetic current. To regulate the electromagnetic forces acting on the bearing, external control is required. Feedback control for AMB systems such as proportional and derivative is only restricted to linearized region. For nonlinear control systems, artificial intelligence techniques such as fuzzy and hybrid techniques are being investigated. Bang-bang control is an old but effective technique to control nonlinear system in optimal time. Bang-bang control combined with fuzzy logic decision-making flexibility results in a robust control system. In this work an integrated fuzzy bang-bang relay controller (FBBRC) is presented to control the AMB system. FBBRC is simple to design than conventional fuzzy controllers. Comparison with other widely used AMB control techniques demonstrate improved results.

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12

Nagi, Farrukh Hafiz, Jawaid Iqbal Inayat-Hussain, and Syed Khaleel Ahmed. "Fuzzy Bang-Bang Relay Control of a Rigid Rotor Supported by Active Magnetic Bearings." Energies 15, no. 11 (2022): 3975. http://dx.doi.org/10.3390/en15113975.

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Active magnetic bearings, which are open-loop and unstable, require a feedback control system to ensure stable operation of the rotating machines that they support. Proportional-integral-derivative (PID) controllers are widely used in field applications of these bearings for this purpose. PID controllers are designed to work effectively within the linear region of operation of the rotating machines. Due to the inherent nonlinearity of the active magnetic bearings, large unbalance forces that may occur in these machines result in nonlinear vibration responses. Therefore, the PID controller’s effectiveness to control the vibration of the rotating machines is considerably reduced when the unbalance forces in these machines become large. Other control strategies, such as the fuzzy logic and the sliding mode control schemes, are more apt to deal with the nonlinear responses of the rotating machines supported by active magnetic bearings. The present work proposes an integrated fuzzy bang-bang relay controller for a rigid rotor mounted on active magnetic bearings. The effectiveness of this controller to suppress rotor vibrations is examined numerically. Performance comparison of this controller with the conventional fuzzy logic and PD controllers are made for different initial conditions, rotor imbalance magnitudes, and rotor angular speeds. At extreme operating conditions due to large rotor unbalance forces, where the magnetic bearings are highly nonlinear, the proposed integrated fuzzy bang-bang relay controller proved to be more superior over the conventional fuzzy logic and PD controllers.

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13

Jones, Morgan, Yuanbo Nie, and Matthew M. Peet. "Model Predictive Bang-Bang Controller Synthesis via Approximate Value Functions." IFAC-PapersOnLine 58, no. 17 (2024): 127–32. http://dx.doi.org/10.1016/j.ifacol.2024.10.125.

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14

Nagi, Farrukh, S. K. Ahmed, A. A. Zainul Abidin, and F. H. Nordin. "Fuzzy bang-bang relay controller for satellite attitude control system." Fuzzy Sets and Systems 161, no. 15 (2010): 2104–25. http://dx.doi.org/10.1016/j.fss.2009.12.004.

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15

Aly, Aly Mousaad. "Vibration Control of Buildings Using Magnetorheological Damper: A New Control Algorithm." Journal of Engineering 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/596078.

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This paper presents vibration control of a building model under earthquake loads. A magnetorheological (MR) damper is placed in the building between the first floor and ground for seismic response reduction. A new control algorithm to command the MR damper is proposed. The approach is inspired by a quasi-bang-bang controller; however, the proposed technique gives weights to control commands in a fashion that is similar to a fuzzy logic controller. Several control algorithms including decentralized bang-bang controller, Lyapunov controller, modulated homogeneous friction controller, maximum energy dissipation controller, and clipped-optimal controller are used for comparison. The new controller achieved the best reduction in maximum interstory drifts and maximum absolute accelerations over all the control algorithms presented. This reveals that the proposed controller with the MR damper is promising and may provide the best protection to the building and its contents.

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16

Ling, Jing, Jin Che, and Da Ming Liu. "Composite Fuzzy Control Method for Temperature in Intelligent Moisture Analyzer." Applied Mechanics and Materials 401-403 (September 2013): 1010–13. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.1010.

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Temperature control system of infrared heating oven in moisture analyzer is characteristic of nonlinear, time-varying and time-lag. A composite fuzzy control (CFC) method is proposed, which combines improved Bang-Bang control with two-stage intelligent fuzzy control. The control algorithm is implemented by MSP430F5438. When the temperature error e between the desired temperature and actual temperature in heating oven is larger than threshold value, the improved Bang-Bang controller is employed in rapidly reducing the error; to decrease the system overshoot, the basic fuzzy controller is used; to reduce the steady-state error of basic fuzzy controller, the auxiliary fuzzy controller is applied. The steady-state error of improved fuzzy controller for oven temperature is less than 0.5°C, which is better than the Chinese National Standards for moisture content measurement.

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17

Kahwaji, G., and C. B. Winn. "Effect of the Cycling Rate on Energy Collection for Bang-Bang Controllers." Journal of Solar Energy Engineering 108, no. 3 (1986): 206–13. http://dx.doi.org/10.1115/1.3268094.

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Allowing a solar system that is governed by Bang-Bang controllers to cycle is shown to have an effect on the overall energy collection. An analytical method to evaluate the relative increase in collected energy (RICE) is developed and a design procedure for the selection of the set point ΔTON of the controller is presented. The performance of several case studies is analyzed and the preference of using the duration of cycles rather than the number of cycles, N, in judging the effect of cycling is discussed.

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18

Ou, Qingli, Xingzhong Wu, and Li Cui. "Design and realization of Bang-Bang +Fuzzy PID coal moisture Controller." JOURNAL OF ELECTRONIC MEASUREMENT AND INSTRUMENT 24, no. 8 (2010): 786–90. http://dx.doi.org/10.3724/sp.j.1187.2010.00786.

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19

Nagi, Farrukh, A. T. Zulkarnain, and J. Nagi. "Tuning fuzzy Bang–bang relay controller for satellite attitude control system." Aerospace Science and Technology 26, no. 1 (2013): 76–86. http://dx.doi.org/10.1016/j.ast.2012.02.016.

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20

Newman, W. S., and K. Souccar. "Robust, Near Time-Optimal Control of Nonlinear Second-Order Systems: Theory and Experiments." Journal of Dynamic Systems, Measurement, and Control 113, no. 3 (1991): 363–70. http://dx.doi.org/10.1115/1.2896419.

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A technique is presented for controlling second-order, nonlinear systems using a combination of bang-bang time-optimal control, sliding-mode control, and feedback linearization. Within the control loop, a state space evaluation of the system classifies the instantaneous dynamics into one of three regions, and one of three corresponding control algorithms is invoked. Using a prescribed generation of desirable sliding surfaces, the resulting combined controller produces nearly time-optimal performance. The combination controller is provably stable in the presence of model uncertainty. Experimental data are presented for the control of a General Electric GP132 industrial robot. The method is shown to achieve nearly time-optimal motion that is robust to modeling uncertainties. Representative transients compare favorably to bang-bang control and PD control.

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21

Zheng, Hong Bo, You Song Sun, and Can Biao Xian. "Research of Pump- Control Electro-Hydraulic Servo System Based on Multi-Mode Extension Control." Advanced Materials Research 317-319 (August 2011): 2181–88. http://dx.doi.org/10.4028/www.scientific.net/amr.317-319.2181.

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Aiming at the contradiction between rapid response, stability and accuracy in position control of pump-control electro-hydraulic servo system, a multi-mode extension control electro-hydraulic servo system was proposed, applying extension method in system design. According to the characteristic information of the system, correlation function was established by multi-mode extension control switch. The movement process was divided into three parts according to correlative degree and controlled in each zone by Bang -Bang controller, fuzzy controller and PID controller respectively. Simulation results showed that the system had rapid response and strong robustness, and can realize high precision control.

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22

Hwang, Tsong‐Yau, Jia‐Yush Yen, and Shui‐Shong Lu. "Fuzzy bang‐bang controller for time optimal and minimum chattering servo systems." Journal of the Chinese Institute of Engineers 17, no. 1 (1994): 83–94. http://dx.doi.org/10.1080/02533839.1994.9677570.

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23

Toulabi, Mohammadreza, Alireza Ashouri-Zadeh, Hessam Kazari, and Ali Mohammad Ranjbar. "Application of Bang–Bang Controller to Emulate Primary Frequency Response in DFIGs." IEEE Systems Journal 14, no. 2 (2020): 2615–23. http://dx.doi.org/10.1109/jsyst.2019.2961188.

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24

Liu, Yang, Lin Jiang, Jeremy S. Smith, and Q. H. Wu. "Primary frequency control of DFIG-WTs using bang-bang phase angle controller." IET Generation, Transmission & Distribution 12, no. 11 (2018): 2670–78. http://dx.doi.org/10.1049/iet-gtd.2017.0282.

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25

Hwang, Tsong-Yau, Jia-Yush Yen, and Shui-Shong Lu. "Fuzzy Bang-Bang Controller for Time Optimal and Minimum Chattering Servo Systems." IFAC Proceedings Volumes 26, no. 2 (1993): 791–94. http://dx.doi.org/10.1016/s1474-6670(17)48380-7.

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26

Kumar, Gaurav, Ashok Kumar, and R. S. Jakka. "The particle swarm modified quasi bang-bang controller for seismic vibration control." Ocean Engineering 166 (October 2018): 105–16. http://dx.doi.org/10.1016/j.oceaneng.2018.08.002.

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27

Lee, Kyung‐Tae, Sang‐Young Oh, and Ho‐Lim Choi. "Modified bang‐bang controller for maximal and minimal time optimal control problems." Asian Journal of Control 22, no. 5 (2019): 1827–39. http://dx.doi.org/10.1002/asjc.2086.

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28

Zhu, Jun, Xu Dong Wang, Bao Yu Xu, and Hai Chao Feng. "The Direct Torque Control Research of Permanent Magnet Linear Synchronous Motor." Applied Mechanics and Materials 143-144 (December 2011): 350–54. http://dx.doi.org/10.4028/www.scientific.net/amm.143-144.350.

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In order to improve the dynamic servo performance of PMLSM, a classical direct torque control (DTC) scheme based on bang-bang control is proposed in the paper. The proposed control method uses the bang-bang hysteresis controller formed a dual-closed loop control system, it contains torque loop and flux loop. The DTC control model was established and the simulation experiment was made. The simulation experiment results show that the DTC can improve the dynamic performance of PMLSM. It can reduce the ripples of speed and torque, so that it can provide more precision and accuracy servo performance.

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29

Sudderth, W. D., and A. P. N. Weerasinghe. "A bang-bang strategy for a finite fuel stochastic control problem." Advances in Applied Probability 24, no. 3 (1992): 589–603. http://dx.doi.org/10.2307/1427481.

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The problem treated is that of controlling a process with values in [0, a]. The non-anticipative controls (µ(t), σ(t)) are selected from a set C(x) whenever X(t–) = x and the non-decreasing process A(t) is chosen by the controller subject to the condition where y is a constant representing the initial amount of fuel. The object is to maximize the probability that X(t) reaches a. The optimal process is determined when the function has a unique minimum on [0, a] and satisfies certain regularity conditions. The optimal process is a combination of ‘timid play' in which fuel is used gradually in the form of local time at 0, and ‘bold play' in which all the fuel is used at once.

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30

Sudderth, W. D., and A. P. N. Weerasinghe. "A bang-bang strategy for a finite fuel stochastic control problem." Advances in Applied Probability 24, no. 03 (1992): 589–603. http://dx.doi.org/10.1017/s0001867800024423.

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The problem treated is that of controlling a process with values in [0, a]. The non-anticipative controls (µ(t), σ(t)) are selected from a set C(x) whenever X(t–) = x and the non-decreasing process A(t) is chosen by the controller subject to the condition where y is a constant representing the initial amount of fuel. The object is to maximize the probability that X(t) reaches a. The optimal process is determined when the function has a unique minimum on [0, a] and satisfies certain regularity conditions. The optimal process is a combination of ‘timid play' in which fuel is used gradually in the form of local time at 0, and ‘bold play' in which all the fuel is used at once.

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31

Fursov, A. S., R. P. Mitrev, P. A. Krylov, and T. S. Todorov. "On the Existence of a Periodic Mode in a Nonlinear System." Differential Equations 57, no. 8 (2021): 1076–87. http://dx.doi.org/10.1134/s0012266121080127.

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Abstract We consider a nonlinear control system with a bang-bang hysteresis control, which is a simplified model of a thermal energy harvester. We obtain conditions on the controller and the system parameters guaranteeing the existence of a periodic mode in the system.

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32

Liberzon, Daniel, and Stephan Trenn. "The Bang-Bang Funnel Controller for Uncertain Nonlinear Systems With Arbitrary Relative Degree." IEEE Transactions on Automatic Control 58, no. 12 (2013): 3126–41. http://dx.doi.org/10.1109/tac.2013.2277631.

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33

Nagi, Farrukh, Aidil Azwin Bin Zainul Abidin, Abdul Talip Zulkarnain, Jawad Nagi, and A. Marwan. "Tuning of a new fuzzy bang bang relay controller for attitude control system." International Journal of Automation and Control 5, no. 2 (2011): 97. http://dx.doi.org/10.1504/ijaac.2011.040136.

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34

Yang, Jincheng, Zhao Zhang, Nan Qi, Liyuan Liu, Jian Liu, and Nanjian Wu. "A fast-locking bang-bang phase-locked loop with adaptive loop gain controller." Journal of Semiconductors 39, no. 12 (2018): 125002. http://dx.doi.org/10.1088/1674-4926/39/12/125002.

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35

HWANG, TSONG-YAU, JIA-YUSH YEN, and SHUI-SHONG LU. "BANG-BANG BASED FUZZY CONTROLLER FOR TIME OPTIMAL AND MINIMUM CHATTERING SERVO SYSTEMS." Electric Machines & Power Systems 23, no. 1 (1995): 25–35. http://dx.doi.org/10.1080/07313569508955604.

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36

Bhatnagar, Pallavee, and R. K. Nema. "A maximum power point tracking algorithm for photovoltaic systems using bang-bang controller." Journal of Renewable and Sustainable Energy 6, no. 5 (2014): 053126. http://dx.doi.org/10.1063/1.4898358.

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37

Sharaf, A. M., Abdulla Ismail, R. A. El-Khatib, and S. I. Abu-Azab. "A photovoltaic utilization system with bang-bang self-adjusting maximum energy tracking controller." International Journal of Energy Research 22, no. 12 (1998): 1091–98. http://dx.doi.org/10.1002/(sici)1099-114x(19981010)22:12<1091::aid-er438>3.0.co;2-6.

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38

BENFRIHA, ELHASSEN. "Bang-Bang Attitude Control During East-West Station Keeping For Geostationary Satellite." Algerian Journal of Signals and Systems 6, no. 3 (2021): 163–68. http://dx.doi.org/10.51485/ajss.v6i3.132.

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This paper investigates the East-West station keeping strategy of geostationary satellites which must be performed to correct the drift caused by natural perturbation forces. The attitude control requirements as well as the pointing accuracy must be maintained during the station-keeping maneuver in order to assure the mission services. The propulsion system (chemical thrusters) is used to control both the orbit control (station keeping) and the attitude control where the ON/OFF thrusters pulses are managed using Bang-Bang controller with dead-band technique. Simulation results can clearly illustrate the feasibility and the effectiveness of the proposed control strategy.

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39

Legweel, Khaled, Dragan Lazic, Milan Ristanovic, and Jasmina Lozanovic-Sajic. "The performance of pip-cascade controler in HVAC system." Thermal Science 18, suppl.1 (2014): 213–20. http://dx.doi.org/10.2298/tsci130812183l.

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Primitive controllers used in the early version for HVAC systems, like the on-off (Bang-Bang) controller, are inefficient, inaccurate, unstable, and suffer from high-level mechanical wear. On the other hand, other controllers like PI and cascade controllers, overcome these disadvantages but when an offset response (inaccurate response) occurs, power consumption will increase. In order to acquire better performance in the central air-conditioning system, PIP-cascade control is investigated in this paper and compared to the traditional PI and PID, in simulation of experimental data. The output of the system is predicted through disturbances. Based on the mathematical model of air-conditioning space, the simulations in this paper have found that the PIP-cascade controller has the capability of self-adapting to system changes and results in faster response and better performance.

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40

Kim, Sang-Ho, Young-Jae Ryoo, and Dae-Yeong Im. "Bang-Bang Controller with Variable Dead Zone for Steering Control of Automated Guided Vehicle." Journal of Korean Institute of Intelligent Systems 29, no. 4 (2019): 291–96. http://dx.doi.org/10.5391/jkiis.2019.29.4.291.

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41

Rubaai, Ahmed, and Jan Jerry. "Hybrid Fuzzy Bang–Bang Mode Controller With Switching Function for Electric Motor Drive Applications." IEEE Transactions on Industry Applications 50, no. 3 (2014): 2269–76. http://dx.doi.org/10.1109/tia.2013.2289998.

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42

Li, You, Dong Ye, and Zhaowei Sun. "Time efficient sliding mode controller based on Bang–Bang logic for satellite attitude control." Aerospace Science and Technology 75 (April 2018): 342–52. http://dx.doi.org/10.1016/j.ast.2017.12.042.

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43

Pisarski, Dominik, Tomasz Szmidt, Czesław I. Bajer, Bartłomiej Dyniewicz, and Jacek M. Bajkowski. "Vibration Control of Double-Beam System with Multiple Smart Damping Members." Shock and Vibration 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/2438902.

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A control method to stabilize vibration of a double cantilever system with a set of smart damping blocks is designed and numerically evaluated. The externally controlled magnetorheological sheared elastomer damping block is considered, but other smart materials can be used as well. The robust bang-bang control law for stabilization the bilinear system is elaborated. The key feature of the closed loop controller is the efficiency for different types of initial excitement. By employing the finite element model, the performance of the controller is validated for strong wind blow load and concentrated impact excitement of the particular point of one of the beams. For each of the excitations, the closed loop control outperforms the optimal passive damping case by over 27% for the considered energy metric.

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La, Viet Duc, and Christoph Adam. "General on-off damping controller for semi-active tuned liquid column damper." Journal of Vibration and Control 24, no. 23 (2016): 5487–501. http://dx.doi.org/10.1177/1077546316648080.

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This paper addresses an on-off damping tuned liquid column damper (TLCD) regulated by a general controller. This general controller can represent many conventional controllers such as groundhook, skyhook, bang-bang, or linear clipping controller. Due to the on-off damping and quadratic damping of the TLCD the system is complex nonlinear. To cope with those nonlinearities, this paper presents a simple approximated solution by solving a scalar algebraic equation. Outcomes of numerical simulations verify the proposed approximated solution. Moreover, the approximated solution is useful to clarify the condition of robust controllers, to speed up the optimization of the general controller, and to conduct any parametric study. Based on a parametric study, an empirical formula for the optimized parameters of the general on-off damping controller is derived. In a case study of an earthquake excited five degree-of-freedom shear frame the simplicity, robustness, and effectiveness of the semi-active TLCD with optimized parameters is illustrated, considering limited noisy measurements, time delay, modeling error, and nonlinear TLCD behavior.

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Hemalatha.G., Hemalatha G. "Bang-Bang Controller Based STATCOM Connected Wind Generating System for Mitigation of Source Current Harmonics." IOSR Journal of Electrical and Electronics Engineering 4, no. 6 (2013): 10–15. http://dx.doi.org/10.9790/1676-0461015.

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B., R. Babar, and Kanade S.G. "DEVELOPMENT OF 3 PHASE 3 WIRE SHUNT ACTIVE POWER FILTER FOR HARMONIC REDUCTION." JournalNX - A Multidisciplinary Peer Reviewed Journal 2, no. 6 (2016): 1–4. https://doi.org/10.5281/zenodo.1469469.

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This paper shows the method of improving the power quality as well as power factor using shunt active power filter in the power system, which is caused by nonlinear loads. The Shunt Active Power Filter (SAPF) injects a suitable compensating current at a point of common coupling (PCC) so that the harmonics present in the line are cancelled out and the sinusoidal nature of voltage and current waveforms are restored. The proposed method consist of Bang Bang current control for reference current generation and Hysteresis band current control (HBCC) technique for the generation of firing pulses to the inverter. This system is simulated using MATLAB/Simulink and the results are presented https://journalnx.com/journal-article/20150080

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VERRELST, BJÖRN, JIMMY VERMEULEN, BRAM VANDERBORGHT, et al. "MOTION GENERATION AND CONTROL FOR THE PNEUMATIC BIPED "LUCY"." International Journal of Humanoid Robotics 03, no. 01 (2006): 67–103. http://dx.doi.org/10.1142/s0219843606000655.

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This paper reports on the control structure of the pneumatic biped "Lucy." The robot is actuated with pleated pneumatic artificial muscles which have interesting characteristics that can be exploited for legged machines. They have a high power-to-weight ratio, an adaptable compliance and they can reduce impact effects. The current control architecture focuses on the trajectory generator and the tracking controller, which is divided into a computed torque controller, a delta-p unit, a PI position controller and a pressure bang-bang controller. The trajectory generator provides polynomial joint trajectories while the computed torque, combined with the delta-p unit, calculates the required muscle pressure levels. The PI and bang-bang controller work at a pressure level to cope with modeling errors and to set the pressures in each muscle. The control design is divided into single support and double support, where specifically the computed torque differs for these two phases. The proposed control architecture is evaluated with a full hybrid dynamic simulation model of the biped. This simulator combines the dynamical behavior of the robot with the thermodynamical effects that take place in the muscle-valves system. The observed hardware limitations of the real robot and expected model errors are taken into account in order to give a realistic qualitative evaluation of the control performance and to test the robustness. A preliminary implementation of the presented controller on the real biped, representing a walking motion of the robot while both feet are in the air, is discussed. This first implementation shows already promising results concerning tracking performance of the proposed control architecture. It confirms that the pneumatic tracking system can be used for a dynamic application such as a biped walking robot.

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Kurre, Manish, Shailesh Deshmukh, Rajdeep Tandekar, Pratikanta Mishra, and Atanu Banerjee. "A Low-Cost Control Architecture for Buck Converter Fed VSI Based BLDC Motor Drive." International Journal of Engineering Research in Africa 62 (November 23, 2022): 161–71. http://dx.doi.org/10.4028/p-34izda.

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In this paper, a novel low-cost digital controller to drive a buck converter fed voltage source inverter (VSI) based brushless DC (BLDC) machine has been proposed. This controller is designed to be implemented solely in digital platforms and has multiple numbers of predefined discrete duty ratios. In conjunction with buck converter fed VSI, the controller is beneficial to enhance the speed and resultant torque profile of BLDC motor drive as compared to conventional bang-bang or on-off controller. The controller also incorporates a current limiter to avoid the over-current loading of the motor. The sampling time and the design of the current limiter are mathematically derived in the paper. The working efficiency of the developed controller for the BLDC motor drive has been examined for various vital and steady-state conditions. The speed ripples, settling time, tolerance to the commanded speed, and load variations are validated and presented in this paper. The proposed controller has been performed and implemented in the field-programmable gate array platform and compared to generic pre-existing controllers to validate the cost-effectiveness of the controller.

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Esteban Méndez, Diego Alfonso, Jaffraith Sánchez Carvajalino, and Ricardo Alzáte Castaño. "Control óptimo conmutado de un convertidor CC-CC." Entre Ciencia e Ingeniería 10, no. 19 (2016): 16–21. https://doi.org/10.31908/19098367.440.

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In this work, switching-based control is applied on regulation of power conversion circuits. In particular, a DC-DC Bucktype power converter has been designed and simulated, both for nominal conditions and under disturbances. First of all, a classical OnOff controller was employed to compensate the effects of disturbances in the loop, in order to check the correctness of the operational conditions for the controlled system. Then, an optimal-switching bangbang controlled was designed and implemented, taking into account the Pontryagin’s Maximum principle, showing a good performance for disturbance rejection, improvement of dynamical features in the response and reduction of error’s energy by mean of verification of optimality criteria. Results show that despite the fact both techniques analyzed; i.e. On-Off and bang-bang, are switching-based laws, the performance index on the optimal controller allows to obtain a cleaner shape with less energy consumption. Ongoing work includes the experimental verification of the optimal technique in laboratory.

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Liu, Yang, Zehui Lin, Chenying Xu, and Lei Wang. "Fault Ride-through Hybrid Controller for MMC-HVDC Transmission System via Switching Control Units Based on Bang-bang Funnel Controller." Journal of Modern Power Systems and Clean Energy 11, no. 2 (2023): 599–610. http://dx.doi.org/10.35833/mpce.2021.000470.

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