Smart Sensor Systems

    APRIL 3-7, 2017registration

    Course material will be distributed only if fees have been paid by the deadline for payment.

    MONDAY, April 3: Introduction and Overview

    08:45-09:00 Registration / Coffee / Welcome  
    09:00-09:30 Introduction to the Course Program K.A.A. Makinwa
    & M.A.P. Pertijs
    09:30-11:00 Designing Smart Sensor Systems K. A.A. Makinwa
    11:15-12:30 Measurement and Calibration Techniques M.A.P. Pertijs
    13:30-15:00 Analog-to-Digital Converters M. Pelgrom
    15:15-16:45 Universal Asynchronous Sensor Interfaces G.C.M. Meijer
    16:45-17:30 Discussions with Lecturers + Drinks  

    TUESDAY, April 4: Physical Sensors

    09:00-10:30 CMOS-Compatible Microfabrication R.F. Wolffenbuttel
    10:45-12:15 Integrated Hall Magnetic Sensors P. Kejik
    13:15-14:45 Smart Temperature Sensors K.A.A. Makinwa
    15:00-16:30 Smart Inertial Sensors M. Kraft
    16:30-17:15 Discussions with Lecturers + Drinks  

    WEDNESDAY, April 5: Sensor Interfaces

    09:00-10:30 Dynamic Offset-Cancellation Techniques K.A.A. Makinwa
    10:45-12:15 Precision Instrumentation Amplifiers J.H. Huijsing
    13:15-16:30 Guided Simulation on Multi-Domain Modeling R.F. Wolffenbuttel
    & M. Ghaderi
    16:30-17:15 Discussions with Lecturers + Drinks  

    THURSDAY, April 6: Sensor Systems

    09:00-10:30 CMOS-Based DNA Microarrays R. Thewes
    10:45-12:15 Multi-Electrode Capacitive Sensors G.C.M. Meijer
    13:15-14:45 Implantable Smart Sensors for Advanced Medical Devices T. Denison
    15:00-17:00 Hands-On Experiments + Discussions with Lecturers  

    FRIDAY, April 7: Optical Sensors

    09:00-10:30 CMOS Image Sensors J. Bosiers
    10:30-12:00 Smart Acoustic Sensors M.A.P. Pertijs
    12:00-12:30 Closing Session K.A.A. Makinwa
    & M.A.P. Pertijs

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    APRIL 3-7, 2017
    TUDelft, Delft, The Netherlands

    Designing Smart Sensor Systems
    Kofi Makinwa, TU Delft, the Netherlands

    Smart Sensor Systems are systems in which sensors and dedicated interface electronics are integrated on the same chip, or at least in the same package. The design of such sensors requires a multidisciplinary approach that takes the characteristics and requirements of the whole system into account. The interface electronics needs to be designed in such a way that it does not limit sensor performance. Since sensors are often relatively slow, the necessary precision can often be achieved by the use of dynamic techniques such as chopping, auto-zeroing and dynamic element matching. As an example, the design of a state-of-the-art wind sensor will be described.

    Measurement and Calibration Techniques
    Michiel A.P. Pertijs, TU Delft, the Netherlands

    This lecture discusses the basics of measurement and calibration. Calibration procedures are essential for establishing the accuracy of a sensor in relation to standards. The lecture discusses how smart sensors differ from conventional sensors in how they are calibrated and how they are used after calibration. Various calibration techniques are introduced, as well as various trimming and correction techniques that can be used to adjust smart sensors after calibration. The lecture also explores the possibility of realizing self-calibrating smart sensors. Various forms of self-calibration are discussed, including the co-integration of additional sensors to compensate for cross-sensitivity, and the co-integration of an actuator to generate a calibration signal locally. Three case studies, of a smart temperature sensor, a smart wind sensor and a self-calibrating Hall sensor, are included to illustrate the various concepts.

    Analog-to-Digital Converters
    Marcel Pelgrom, Pelgrom Consult, the Netherlands

    The basic principles of analog-to-digital conversion will be discussed as well as some characteristic parameters. Different conversion architectures allow optimum conversion for various signal types. Often the trade-off is between accuracy, bandwidth and power. In this lecture specific attention is given to successive approximation and sigma delta conversion. Some practical examples will illustrate the concepts.

    Universal Asynchronous Sensor Interfaces
    Gerard C.M. Meijer, TU Delft, the Netherlands

    In this lecture it is shown that relaxation oscillators are very suited to be applied as modifiers for many types of sensor signals at their input. The modulated output signals can directly be read out by microcontrollers and DSPs. To connect different types of sensing elements at the modulator input different types of sensor-specific front-ends are required. The features of the overall systems are discussed for capacitive and resistive (bridge) transducers.

    CMOS-Compatible Microfabrication
    Reinoud Wolffenbuttel, TU Delft, the Netherlands

    A CMOS chip containing both the sensor and electronic circuits is the ultimate level of integration of a Smart Sensor System. However, wafer-level co-fabrication requires full compatibility between the dedicated processing of the sensors and the main process flow for the circuits. Some transduction effects, such as utilization of the temperature dependence of CMOS components, come for free with the mainstream CMOS process. Other effects intrinsic to operation of CMOS components, such as photo-electric effects in diodes, can be exploited using a non-conventional mask design. However, in the general case departures from the mainstream CMOS process are required for including sensor functionality. Any additional sensor-related processing makes the CMOS process non-standard and care should be taken to ensure proper operation of the circuits. Compatibility requirements forces to strategic decisions: on the economic viability of the on-chip integration in the intended application, but also on whether to postpone sensor-related processing until after completion of the CMOS processing or to interrupt the main process flow. Compatibility of process steps also results in limitations, such as: acceptable materials, etchants (for cleanroom re-entrance) and conditions (maximum anneal for circuit operation). The various approaches for CMOS-compatible integration are discussed, with an emphasis on CMOS-compatible micromachining using examples of successfully integrated single-chip microsystems.

    Integrated Hall Magnetic Sensors
    Pavel Kejik, EPFL, Lausanne, Switzerland

    The lecture starts with a brief introduction into the Hall effect and Hall elements. Then the problems and good practices in the realization of integrated Hall magnetic sensors will be reviewed. The main issues are offset, temperature cross-sensitivity, switching noise, and drift related to the packaging stress. By combining Hall elements with well-adapted interface electronics some of the problems can be dramatically reduced. It will be shown that integration of magnetic flux concentrators on the sensor chip will further decrease the equivalent magnetic noise and offset.

    Smart Temperature Sensors
    Kofi Makinwa, TU Delft, the Netherlands

    Smart temperature sensors are everywhere! They are used in CPUs for thermal management, in DRAMs to control refresh rates, and in MEMS frequency references for temperature compensation, to name but a few high volume applications. In this lecture, the operating principles of smart temperature sensors will be explained, their main sources of inaccuracy identified, and suitable remedies, at the device, circuit and system levels, described. To further illustrate these concepts, the design of state-of-the-art temperature sensors with inaccuracies in the order of 0.1°C will be presented.

    Smart Inertial Sensors
    Michael Kraft, Fraunhofer Institut, Germany

    Accelerometers and gyroscopes are one of the most successful MEMS sensors. The lecture will briefly present their underlying principles, and then focus on the state-of-the-art as there is still considerable effort going on to increase their performance and functionality. Key to high performance is the inclusion of micromachined sensing element in a force-feedback, closed loop control system. The approach based on electro-mechanical sigma-delta modulator has proven to be very successful in recent years. Such a control system yields a digital output enabling the digital processing of the sensors' output, hence allowing the design of smart inertial sensors.

    Dynamic Offset-Cancellation Techniques
    Kofi Makinwa, TU Delft, the Netherlands

    In modern CMOS processes, device mismatch typically results in offset voltages of several millivolts. But many sensor interfaces require much lower offset levels. By using dynamic offset cancellation techniques such as auto-zeroing and chopping, however, microvolt levels of offset can be routinely achieved. In this lecture, an introduction to the theory of auto-zeroing and chopping will be given, and the pros and cons of both techniques will be discussed. Examples will be given of the use of auto-zeroing and chopping in sensor interfaces with residual offsets as low as 50nV.

    Precision Instrumentation Amplifiers
    Johan Huijsing, TU Delft, the Netherlands

    To understand the problems of the designers of sensor interface circuits will help the system designer to get the best performance. The principles and features of precision instrumentation amplifiers, key building blocks of many sensor interfaces, will be discussed from a designer's point of view. Constraints regarding noise, dynamic range, common-mode range will be discussed for circuits made in state-of-the art technology. The case studies include instrumentation amplifiers with offset cancellation, and amplifiers with rail-to-rail voltage ranges.

    Guided Simulation on Multi-Domain Modeling
    Reinoud Wolffenbuttel & Mohammadamir Ghaderi, TU Delft, the Netherlands

    This guided tutorial is intended to provide each individual participant with hands-on experience in the use of a finite element-based multi-physics simulation tool (COMSOL Multiphysics) that has become indispensable in smart sensor design. The simulation is organised in two inseparable sessions. During the first session the essentials of multi-domain modelling in the coupled thermal-electrical domains are highlighted, first in terms of equivalent lumped components and followed by the representation that is suitable for finite element modelling. Subsequently, the modelling is applied for analysing the thermal behaviour of a free-standing micro-beam with an electrical current applied. The step-wise guided simulation confronts each participant with practical issues, such as meshing, applying proper boundary conditions, use of a material database and post processing of the results. Finally operation as a CMOS-compatible hot-wire anemometer is verified. The second session is dedicated to the design of a bulk-micromachined accelerometer.  After the presentation of the mechanical-electrical coupled domains, the equivalent lumped components and the hands-on building of the finite element model, participants are guided through several accelerometer designs aspects, such as bandwidth, higher-order modes of operation and squeeze-film air damping.

    CMOS-based DNA Microarrays
    Roland Thewes, TU Berlin, Germany

    CMOS-based DNA sensor arrays have gained huge interest in recent years since they provide advantages compared to state-of-the-art commercially available tools for the same purpose using optical principles. In this lecture, an overview is given starting with the general operation principle of DNA microarrays, optical and electronic functionalization techniques, and detection principles using labeling-based and label-free read-out. CMOS integration issues and the related processing requirements are briefly discussed. Emphasis is put on CMOS circuit design requirements in terms of sensitivity, stability, and further parameters depending on the particular application. Examples from the literature are considered to demonstrate opportunities and limitations of CMOS chips applied in that field.

    Multi-Electrode Capacitive Sensors
    Gerard C.M. Meijer, TU Delft, the Netherlands

    A systematic approach towards the design of reliable smart low-cost high-performance capacitive sensors is presented. The basis problems and their solutions of both the physical and the electrical signal processing are discussed. The examples concern capacitive sensors in position detectors, liquid-level detectors and personnel detectors.

    Implantable Smart Sensors for Advanced Medical Devices
    Tim Denison, Medtronic Neuromodulation, USA

    The use of physiological sensors is a key enabling technology for implementing ‘smart’ implantable systems. For example, electrocardiograms (ECG) are well established for measuring the intrinsic activity of the heart, and algorithms based on the ECG help to initiate stimulation therapy in the presence of an abnormal beat in modern pacemakers. The role of physiological sensing continues to grow as technology evolves and can be applied to resolving unmet clinical needs. The practical implementation of chronic physiological sensors presents numerous challenges. In particular, sensors that go in the body have strict requirements on reliability, stability and safety. Additional challenges arise with the constraints placed on an implantable design. These constraints include low supply overhead and limited current drain, as chronic sensors must often limit their power dissipation to microwatt levels in order to have acceptable implant longevity. This tutorial will highlight recent physiological smart sensor prototypes that provide robust performance within the constraint of an implantable system. Case studies will include "reflex concepts" implemented with accelerometers, as well as prototype seizure monitors and prosthetic brain-machine interface technologies utilizing precision chopper amplifiers.

    CMOS Image Sensor
    Jan Bosiers, Dalsa, the Netherlands

    Today, solid-state image sensors can be found everywhere: from mobile phones to broadcast cameras, from optical mice to medical detectors. Imagers made in CMOS technologies claimed their place in the low-end markets already many years ago. Recently many high-end cameras that have traditionally all been based on CCD sensors, have also adapted CMOS imagers. CMOS imagers in general are characterized by a higher on-chip functionality, low power, random accessibility and in many cases a lower total system cost. The CCDs are still superior in some imaging quality aspects, but CMOS imagers have been steadily improving.
    This presentation will give an overview of the CMOS image pixels, sensor architectures, applications and the technologies in which these devices are being fabricated.

    Smart Acoustic Sensors
    Michiel A.P. Pertijs, TU Delft, the Netherlands

    Acoustic waves can be used to perform a wide variety of measurements, such as flow sensing, ranging and medical imaging. This lecture first introduces the basic operating principles of acoustic sensors and then focuses on the opportunities opened up by combining transducers and integrated electronics to form smart acoustic sensors. This combination is key for the realization of ultrasonic devices that employ transducer arrays with large numbers of elements, e.g. for 3D medical imaging, and for miniaturized, low-power devices. The basic operating principles of piezo-electric and capacitive ultrasound transducers and key interface circuits such as LNAs, pulsers and beamformers will be discussed. A miniature ultrasound probe for 3D medical imaging will presented as a case study.


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