Redundancy Scheme Research Articles

A Redundant Secondary Control Scheme to Resist FDI Attacks in AC Microgrids

Hierarchical control of AC microgrids, despite providing stable voltage, frequency, and optimal power distribution, is susceptible to false data injection (FDI) attacks on its secondary control. Electric power systems in countries such as the United States and Venezuela have suffered cyberattacks. This paper proposes a redundant secondary control method to resist FDI attacks. This method uses distributed generators (DGs) online as redundant units on standby, generating dynamic corrections to the attacked DGs, thus eliminating the attack impact. It effectively addresses the numerical tampering and addition brought by FDI to the frequency and voltage setting values of the secondary control, ensuring the microgrid can still output stable frequency and voltage. The principle of this control method is direct and practical; it doesn't require complex controllers and can respond quickly to FDI attacks. Then, focusing on a microgrid system containing six DGs, the setting values of the microgrid system are tampered by multiple values in different time periods, the simulation results confirm that the proposed method can effectively resist FDI attacks under various scenarios. Finally, FPGA-in-the-loop experiments further verify the effectiveness of the proposed method.

Advanced Innovations in Electronic Control Units: Enhancing Performance and Reliability with AI

This paper proposes a methodology for the design of electronic control unit (ECU) hardware units with increased performance and reliability. Today's vehicles are equipped with dozens of ECUs that significantly influence the system's efficiency, reliability, performance, and safety. With the increased complexity of control algorithms and the environmental constraints that automotive systems operate, the robustness and efficiency of the ECUs are of utmost importance. In this work, an approach is proposed based on combining hardware redundancy, commercial field programmable gate arrays (FPGAs), and artificial intelligence strategies to provide increased redundancy checks and robust control. An additional redundancy is added to the hardware architecture of the ECU to include a parallel hardware unit. The two controlling units operate in parallel. The output of each of them is compared, allowing redundancy checks in the computation of the output variable (oV) of the system. The mathematical model of the ECU depicts the governing equations of the ECU in the form of differential equations, which results in a corresponding state-space configuration. These mathematical models are encoded into the field programmable gate array (FPGA) and processed in hardware, leading to an equivalent software-based implementation. To analyze the performance of both models within the ECU, an artificial neural network (ANN)-based strategy is proposed. The ANN depicts the governing equations of the ECU in the form of differential equations encoded in the form of sigmoidal functions. To analyze the reliability of the control action in the ECU, the temperature of the system is increased, which leads to a random variation of the system parameters. The variability of the ECU parameters leads to a deviation in the computation of the oV and the corresponding control action. The robustness of the control is determined in such conditions. A control law is determined to guarantee proper control action under variations in the governing equations of the system. This control law is represented by a simple algebraic equation, which can then be cast in various control strategies, such as look-up tables or fuzzy logic controllers. Several cases are simulated to assess the performance of the proposed control law for the hardware redundancy scheme, for the ANN-based equivalent software implementation approach, and for the additional fuzzy logic controller. The simulation results are analyzed concerning the requested oV and give insight into the performance and reliability of the proposed dedicated ECU design.

Redundant Configuration Method of MEMS Sensors for Bottom Hole Assembly Attitude Measurement.

Micro-electro-mechanical systems inertial measurement units (MEMS-IMUs) are increasingly being employed for measuring the attitude of bottom hole assemblies (BHAs). However, the reliability and measurement precision of a single MEMS-IMU may not meet drilling's stringent needs. Redundant MEMS-IMU systems can effectively enhance the reliability and precision. This paper proposes a redundant configuration method for MEMS sensors tailored to BHA attitude measurement. Firstly, based on reliability theory and a cost-benefit analysis, considering factors such as cost, size, and reliability, the optimal number of sensors in the redundant system was determined to be six. Considering the structural characteristics of the BHA, a hollow hexagonal prism-shaped redundant configuration scheme was proposed, ensuring the circulation of drilling fluid within the drill pipe. Next, by employing Kalman filtering to integrate the output data from the six sensors, a virtual IMU (VIMU) was formed. Finally, experimental verification was carried out. The results confirmed that, after redundancy implementation, the velocity random walk of the accelerometer decreased by an average of 58% compared to a single MEMS-IMU, and bias instability was reduced by an average of 54%. The angular random walk of the gyroscope decreased by an average of 58%, and bias instability was reduced by an average of 37%. This research provides a theoretical foundation for enhancing the precision and reliability of BHA attitude measurements.

Digital processing and BLMASIC control prototype for the Beam Loss Monitor system in the SPS at CERN

The Beam Loss Monitoring system plays a crucial role in the CERN's Super Proton Synchrotron beam monitoring and machine protection. With the upcoming renovation of the system, the acquisition electronics can be based on an innovative ASIC designed by CERN. This paper presents the development of the control and digital processing electronics for this BLMASIC, reviews the architecture and design choices, discusses implementation details, including the controls and redundancy schemes, and highlights some preliminary results. The conclusion outlines the future development steps, and emphasises the interest of this simple and robust architecture using LpGBT and VTRx for critical systems.

A Multi-Objective Perspective to Satellite Design and Reliability Optimization

Development of a communication satellite project is highly complicated and expensive which costs a few hundred million dollars depending on the mission in space. Once a satellite is launched into orbit, it has to operate in harsh environmental conditions including radiation, solar activity, meteorites, and extreme weather patterns. Since there is no possibility of physical maintenance intervention in space, reliability is a critical attribute for all space and satellite projects. Therefore, the redundancy philosophy and reliability measures are taken into account in the design phase of a satellite to prevent the loss of functionality in case of a failure in orbit. This study aims to optimize the payload design of a communication satellite by considering the system’s reliability, power consumption and cost simultaneously. Since these objectives are conflicting in their nature, a multi-objective optimization approach is proposed. We offer a systematic approach to the satellite design by determining the best redundancy strategy considering contradictory objectives and onboard constraints in the multibillion-dollar satellite industry. The proposed approach promotes trade-offs and sensitivity analyses between cost, power consumption and system reliability in the early design phase of satellites using Compromise Programming. By using different sets of weights for the objectives in our model, it is possible to address different types of satellites depending on their mission and priorities. Because of the NP-Hard characteristics of the reliability optimization problem and the nonlinear equation in the proposed model, the Simulated Annealing algorithm is utilized to solve the problem. As a case analysis, the implementation is carried out on the design of a communication satellite system with active hot-standby and warm-standby onboard redundancy schemes. Results reveal that huge savings in million dollars can be attained as a result of approximately 5% reduction in reliability.

Highly Redundant Safety Scheme and Its Experimental Validation for the Electronic-Controlled Pneumatic Braking System of Commercial Vehicle for Autonomous Driving

Highly Redundant Safety Scheme and Its Experimental Validation for the Electronic-Controlled Pneumatic Braking System of Commercial Vehicle for Autonomous Driving

Hybrid Modular Redundancy: Exploring Modular Redundancy Approaches in RISC-V Multi-Core Computing Clusters for Reliable Processing in Space

Space Cyber-Physical Systems (S-CPS) such as spacecraft and satellites strongly rely on the reliability of onboard computers to guarantee the success of their missions. Relying solely on radiation-hardened technologies is extremely expensive, and developing inflexible architectural and microarchitectural modifications to introduce modular redundancy within a system leads to significant area increase and performance degradation. To mitigate the overheads of traditional radiation hardening and modular redundancy approaches, we present a novel Hybrid Modular Redundancy (HMR) approach, a redundancy scheme that features a cluster of RISC-V processors with a flexible on-demand dual-core and triple-core lockstep grouping of computing cores with runtime split-lock capabilities. Further, we propose two recovery approaches, software-based and hardware-based, trading off performance and area overhead. Running at 430MHz, our fault-tolerant cluster achieves up to 1160MOPS on a matrix multiplication benchmark when configured in non-redundant mode and 617 and 414 MOPS in dual and triple mode, respectively. A software-based recovery in triple mode requires 363 clock cycles and occupies 0.612 mm 2 , representing a 1.3% area overhead over a non-redundant 12-core RISC-V cluster. As a high-performance alternative, a new hardware-based method provides rapid fault recovery in just 24 clock cycles and occupies 0.660 mm 2 , namely ∼ 9.4% area overhead over the baseline non-redundant RISC-V cluster. The cluster is also enhanced with split-lock capabilities to enter one of the available redundant modes with minimum performance loss, allowing execution of a mission-critical portion of code when in independent mode, or a performance section when in a reliability mode, with <400 clock cycles overhead for entry and exit. The proposed system is the first to integrate these functionalities on an open-source RISC-V-based compute device, enabling finely tunable reliability vs. performance trade-offs.

Future evolutions of EUSST collision avoidance service

Over the last few years, both the space debris population and the number of active satellites in orbit has dramatically increased. The risk of collision for satellite missions is a problem to an increasing extent targeted thoroughly by all agents involved in space situational awareness (SSA) & spacecraft operations. In the frame of the European Union Space Surveillance and Tracking (EU SST), the CA service is provided on a hot redundancy scheme involving the French and Spanish Operations Centres (FR-SSA Centre and S3TOC, respectively), to more than 50 organizations and 390 satellites at the time of writing.Given the dynamic space environment, EU SST CA service must evolve continuously to face the increase of the number of registered users and spacecraft, the diversity of users’ needs and the increasing number of close approaches.

On the design and performance of scheduling policies exploiting spatial diversity for URLLC

In this paper, we study the performance of packet scheduling schemes for Ultra-Reliable Low-Latency Communications (URLLC) services. We exploit spatial diversity (i.e., redundant coverage of users) guaranteed in numerous 5G radio access network scenarios to examine the impact of multi-connectivity. Thus, we consider a set of URLLC users connected to two frequency layers or Radio Access Technologies (RATs) to ensure minimal queuing time. We review four packet scheduling and redundancy schemes, namely Join-the-Shortest-Queue (JSQ), the shortest expected delay (SED), systematic Redundancy (RED), and redundancy with Cancellation upon completion (CAN). We choose the outage probability as a metric, defined as the packet’s probability of arriving after some given target delay. We show that RED performs well at low load, whereas JSQ and SED are better when the load rises. Besides, CAN outperforms all other schemes. We then discuss the trade-off between performance and implementation complexity.

A 28-nm RRAM Computing-in-Memory Macro Using Weighted Hybrid 2T1R Cell Array and Reference Subtracting Sense Amplifier for AI Edge Inference

Non-volatile computing-in-memory (nvCIM) can potentially meet the ever-increasing demands on improving the energy efficiency (EF) for intelligent edge devices. However, it still suffers from limited input parallelism due to the parasitic effects, signal margin degradation due to device non-idealities, and large hardware cost for analog readout. In this work, we present a two-transistor-one-resistor (2T1R) resistive memory (RRAM) nvCIM macro featuring: 1) a macro structure with decoupled memory and computing data paths; 2) the weighted hybrid 2T1R (WH-2T1R) cell array; 3) the redundant sub-array mapping scheme of the most-significant-bit (RSM-MSB); and 4) reference-subtracting current sense amplifier (RS-CSA). A test-chip is silicon-verified using the 28-nm high-k/metal-gate (HKMG) logic process with foundry-developed RRAM. The test-chip performs linear analog multiply-and-accumulate (MAC) operations over 32 accumulation channels and achieves 30.34–154.04 TOPS/W with 1-bit input (IN), 3-bit weight (W), and 4-bit output (O). Evaluations with the ResNet-18 model show that the MSB-RSM scheme results in 0.96% and 2.83% improvement on CIFAR-10 and CIFAR-100 inference accuracy, respectively.

Robustness of Artificial Neural Networks Based on Weight Alterations Used for Prediction Purposes

Nowadays, due to their excellent prediction capabilities, the use of artificial neural networks (ANNs) in software has significantly increased. One of the most important aspects of ANNs is robustness. Most existing studies on robustness focus on adversarial attacks and complete redundancy schemes in ANNs. Such redundancy methods for robustness are not easily applicable in modern embedded systems. This work presents a study, based on simulations, about the robustness of ANNs used for prediction purposes based on weight alterations. We devise a method to increase the robustness of ANNs directly from ANN characteristics. By using this method, only the most important neurons/connections are replicated, keeping the additional hardware overheads to a minimum. For implementation and evaluation purposes, the networks-on-chip (NoC) case, which is the next generation of system-on-chip, was used as a case study. The proposed study/method was validated using simulations and can be used for larger and different types of networks and hardware due to its scalable nature. The simulation results obtained using different PARSEC (Princeton Application Repository for Shared-Memory Computers) benchmark suite traffic show that a high level of robustness can be achieved with minimum hardware requirements in comparison to other works.

Dynamic Heterogeneous Redundancy-Based Joint Safety and Security for Connected Automated Vehicles: Preliminary Simulation and Field Test Results

For connected automated vehicles (CAVs), safety and security are two interrelated critical issues since many in-vehicle components are both safety critical and security critical. To achieve both safety and security in the presence of functional failures or cyberattacks, this article proposes a dynamic heterogeneous redundancy (DHR) scheme for CAVs. The basic idea is that each safety- and security-critical in-vehicle component should employ a DHR architecture, which is constructed by multiple heterogeneous executors with the same function. With redundancy, the functional safety can be achieved when one executor fails. Meanwhile, based on the principle that the probability is extremely low that two or more heterogeneous executors with the same function will fail for the same vulnerability, security can be ensured by using simple consensus mechanisms to detect abnormal executors caused by any cyberattacks. A DHR prototype has been designed and installed on an automated bus. Test results show that the proposed DHR is effective in enhancing both safety and security for CAVs.

Radiation studies performed on the High Luminosity ATLAS TileCal link Daughterboard

The new electronics of the ATLAS Tile Calorimeter for the HL-LHC interfaces the on-detector and off-detector electronics by means of a Daughterboard. The Daughterboard is positioned on-detector featuring commercial SFPs+, CERN GBTx ASICs, ProASIC FPGAs and Kintex Ultrascale FPGAs. The design minimizes single points of failure and mitigates radiation damage by means of a double redundant scheme, Triple Mode Redundancy, Xilinx Soft Error Mitigation IP, CRC/FEC for link data transfer, and SEL protection circuitry. We present an updated summary of the TID, NIEL and SEE qualification tests, and performance studies of the Daughterboard revision 6 design.

MSTor 2023: A new version of the computer code for multistructural torsional anharmonicity, now with automatic torsional identification using redundant internal coordinates

The MSTor program is a computer program for calculating partition functions and thermodynamic functions of complex gas-phase molecules with multiple torsions; the multi-structural approximation with torsional anharmonicity (MS-T) can be used based on either a coupled torsional potential or an uncoupled torsional potential. The program can also carry out calculations in the multiple-structure local harmonic (MS-LH) approximation or multi-structural local quasiharmonic (MS-LQ) approximation or by the dual-level MS-T method. Furthermore, the program package includes eight utility codes that can be used as stand-alone programs to help the user to generate the input files for the code or to generate comparison results. The 2023 version of MSTor includes a new capability, namely automatic identification of torsional modes with redundant internal coordinates. New version program summaryProgram title: MSTor 2023CPC Library link to program files:https://doi.org/10.17632/t4y5wds856.1Licensing provisions: Apache 2.0Programming language: Fortran 90, C, and PerlJournal references of previous versions: Comput. Phys. Comm. 183 (2012) 1803; Comput. Phys. Comm. 184 (2013) 2032Does the new version supersede the previous version?: Yes.Nature of problem: Calculation of the partition functions and thermodynamic functions (standard-state energy, enthalpy, entropy, and free energy as functions of temperature) of molecules or transition states involving multiple torsional motions.Solution method: The program uses the multi-structural approximation with torsional anharmonicity, a coupled torsional potential, and delocalized torsions MS-T(CD) [1]. The program also provides results for the multi-structural local harmonic approximation or local quasiharmonic approximation, and it can also be used for the original multi-structural approximation with torsional anharmonicity and a coupled torsional potential MS-T(C) [2] or an uncoupled torsional potential MS-T(U) [3]. The program can also carry out dual-level [4] MS-T(CD), MS-T(C), and MS-T(U) calculations.Reasons for new version: The new version increases functionality and is more user friendly. The main enhancement is the capability for automatic identification of torsional modes with redundant internal coordinates.Summary of revisions: A newly developed torsional identification approach for complex molecules has been implemented in the MSTor program. The method, called multi-structural torsion method with a coupled torsional potential and delocalized torsions MS-T(CD), is based on Baker et al.'s delocalized internal-coordinates method and on Zheng and Truhlar's torsional projection method. By using a redundant-internal-coordinate auto-generation procedure, the MS-T(CD) method circumvents the need in the original MS-T method for the user to define nonredundant internal coordinates, and it can straightforwardly identify and separate the coupled torsions from the Cartesian Hessian. This greatly simplifies the user input, and it helps users to obtain robust and consistent results. MSTor now sets the redundant internal coordinate scheme as the default method.A new utility code, DLMSTor.exe, is provided to allow dual-level calculations. The $framechain and $framedef sections were reintroduced to the code as optional sections. If these sections are used, the D matrix is calculated using the scheme of Kilpatrick and Pitzer and one should always get correct values for the moments of inertia.Various utility codes were modified to help ensure that structures that are equivalent under rotation to other structures (and thus indistinguishable when considering overall rotation and torsions) are still properly included in the Voronoi tessellation step (which does not fully exploit overall rotational symmetry).The mcvorm.exe utility code was modified to correctly calculate uncertainties and to take advantage of rotational symmetries (at least for linear-chain molecules) and mirror-image symmetries, if present, in the calculation of the uncertainty estimates.We added a new keyword, MTUMME, that provides an option to write a density-of-states file for version 2023 (in preparation) of the TUMME [5] master equation program.Some minor bugs are fixed so the code now compiles properly with the GNU gfortran compiler (version 12.2.1), the NVidia HPC Fortran compiler pgfortran (version 21.3), and the Intel compiler ifort. The output format is cleaned, and unused variables and arrays are removed. The new version has an increased number of test runs, and the manual is improved and updated.The program authors are J. Zheng, W. Chen, S. L. Mielke, J. L. Bao, R. Meana-Pañeda, K. L. Clarkson, X. Xu, and D. G. Truhlar; the new version announcement authors are W. Chen, J. Zheng, J. L. Bao, D. G. Truhlar, and X. Xu; the primary corresponding author is X. Xu.

A cost-efficient hybrid redundancy coding scheme for wireless storage systems

With distributed storage technique becoming a promising technology for storing massive data in wireless environment, how to improve the reliability of the storage systems has become the focus of researchers. As a redundancy scheme, the erasure coding has been widely used because of its high fault tolerance and low storage overhead performance. However, a large amount of repair overhead consumed to reconstruct lost data has become the most significant issue in erasure-coded storage systems. In this paper, a wireless heterogeneous storage network with two-layer is designed, where processing units and storage nodes communicate cooperatively. Furthermore, with the consideration of the access frequency skew of stored information and the performance difference of storage nodes, we propose a novel repairable fountain code scheme based on partial duplication technique (PD-RFC), which can modify the repair bandwidth and improve the availability of links between nodes without almost increasing additional storage space overhead. Furthermore, a hybrid code scheme combined by PD-RFC scheme and RFC scheme is designed for the heterogeneous two-layer storage network. The simulation results have shown that the hybrid scheme significantly outperforms other redundant schemes in energy communication cost saving.

A Survey of Two-Component Systems in Coxiella burnetii Reveals Redundant Regulatory Schemes and a Requirement for an Atypical PhoBR System in Mammalian Cell Infection.

Coxiella burnetii is an obligate intracellular bacterium and the etiological agent of Q fever in humans. C. burnetii transitions between a replicative, metabolically active large-cell variant (LCV) and a spore-like, quiescent small-cell variant (SCV) as a likely mechanism to ensure survival between host cells and mammalian hosts. C. burnetii encodes three canonical two-component systems, four orphan hybrid histidine kinases, five orphan response regulators, and a histidine phosphotransfer protein, which have been speculated to play roles in the signaling required for C. burnetii morphogenesis and virulence. However, very few of these systems have been characterized. By employing a CRISPR interference system for genetic manipulation of C. burnetii, we created single- and multigene transcriptional knockdown strains targeting most of these signaling genes. Through this, we revealed a role for the C. burnetii PhoBR canonical two-component system in virulence, regulation of [Pi] maintenance, and Pi transport. We also outline a novel mechanism by which PhoBR function may be regulated by an atypical PhoU-like protein. We also determined that the GacA.2/GacA.3/GacA.4/GacS orphan response regulators coordinately and disparately regulate expression of SCV-associated genes in C. burnetii LCVs. These foundational results will inform future studies on the role of C. burnetii two-component systems in virulence and morphogenesis. IMPORTANCE C. burnetii is an obligate intracellular bacterium with a spore-like stability allowing it to survive long periods of time in the environment. This stability is likely due to its biphasic developmental cycle, whereby it can transition from an environmentally stable small-cell variant (SCV) to a metabolically active large-cell variant (LCV). Here, we define the role of two-component phosphorelay systems (TCS) in C. burnetii's ability to survive within the harsh environment contained in the phagolysosome of host cells. We show that the canonical PhoBR TCS has an important role in C. burnetii virulence and phosphate sensing. Further examination of the regulons controlled by orphan regulators indicated a role in modulating gene expression of SCV-associated genes, including genes essential for cell wall remodeling.

Collective pitch for horizontal axis marine current turbine

Marine current turbines need to operate at sea for a long time, facing a changeable marine environment and harsh working conditions, and are prone to component failures. Therefore, it is necessary to use efficient and reliable pitch technology to achieve unattended, stable, month-long operation corresponding to lunar rhythm, enhance redundancy and reliability, and extend the service life of the turbine. A hydraulic collective pitch system was designed for a 120 kW horizontal-axis marine current turbine, and a pitch angle redundant measurement scheme was proposed to measure the pitch angle directly and indirectly. Pitch control strategies were designed, including pitch-assisted launch, power-staged control, and two-way current energy harvesting, based on marine current reversal determination. A joint simulation was carried out using AMESim and MATLAB/Simulink software, and a sea test was performed based on the test platform. The simulation and sea test results demonstrated that the designed pitch system operates normally, and the pitch strategies can reduce pitch system loss and achieve month-long reliability.

Reliability Evaluation of Erasure-coded Storage Systems with Latent Errors

Large-scale storage systems employ erasure-coding redundancy schemes to protect against device failures. The adverse effect of latent sector errors on the Mean Time to Data Loss (MTTDL) and the Expected Annual Fraction of Data Loss (EAFDL) reliability metrics is evaluated. A theoretical model capturing the effect of latent errors and device failures is developed, and closed-form expressions for the metrics of interest are derived. The MTTDL and EAFDL of erasure-coded systems are obtained analytically for (i) the entire range of bit error rates; (ii) the symmetric, clustered, and declustered data placement schemes; and (iii) arbitrary device failure and rebuild time distributions under network rebuild bandwidth constraints. The range of error rates that deteriorate system reliability is derived analytically. For realistic values of sector error rates, the results obtained demonstrate that MTTDL degrades, whereas, for moderate erasure codes, EAFDL remains practically unaffected. It is demonstrated that, in the range of typical sector error rates and for very powerful erasure codes, EAFDL degrades as well. It is also shown that the declustered data placement scheme offers superior reliability.

Worst-Case Delay Bounds in Time-Sensitive Networks With Packet Replication and Elimination

Packet replication and elimination functions are used by time-sensitive networks (as in the context of IEEE TSN and IETF DetNet) to increase the reliability of the network. Packets are replicated onto redundant paths by a replication function. Later the paths merge again and an elimination function removes the duplicates. This redundancy scheme has an effect on the timing behavior of time-sensitive networks and many challenges arise from conducting timing analyses. The replication can induce a burstiness increase along the paths of replicates, as well as packet mis-ordering that could increase the delays in the crossed bridges or routers. The induced packet mis-ordering could also negatively affect the interactions between the redundancy and scheduling mechanisms such as traffic regulators (as with per-flow regulators and interleaved regulators, implemented by TSN asynchronous traffic shaping). Using the network calculus framework, we provide a method of worst-case timing analysis for time-sensitive networks that implement redundancy mechanisms in the general use case, i.e., at end-devices and/or intermediate nodes. We first provide a network calculus toolbox for bounding the burstiness increase and the amount of reordering caused by the elimination function of duplicate packets. We then analyze the interactions with traffic regulators and show that their shaping-for-free property does not hold when placed after a packet elimination function. We provide a bound for the delay penalty when using per-flow regulators and prove that the penalty is not bounded with interleaved regulators. Finally, we use an industrial use-case to show the applicability and the benefits of our findings.

Redundant Electromagnetic Control of an Endoscopic Magnetic Capsule Driven by Multiple Electromagnets Configuration

In this article, we present a novel stationary electromagnetic actuation system (EMS) and a redundant magnetic field control approach that can enhance the magnetic actuation ability for a capsule endoscope. The EMS configured with multiple electromagnets has an intrinsic redundant problem when computing input current to each coil from inverse formulation. Here, we propose a redundant electromagnetic field control scheme of utilizing this redundancy to increase magnetic force and reduce the peak input current that deteriorates the performance. It is based on the optimization of magnetic field encountering input current and null-space equations of a pseudoinverse matrix. We validated the proposed methods in simulation and experiments through the prototyped EMS designed by considering actual human size and a magnetic capsule endoscope. The results show significant improvements in the magnetic field and lower input current compared to the conventional method as well as extended operating time through reduced heating effects. Especially, the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in vitro</i> in a gastric phantom and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in vivo</i> experiments in a live pig could prove the practical applicability of the developed method for a magnetic capsule endoscope toward upper stomach diagnosis in the clinical environment.