Robot arms require actuators that are powerful, precise and safe. The safety concern is amplified when these robots work closely with people in collaborative applications. This thesis investigates the design and implementation of hybrid pneumatic-electric actuators (HPEA) for use in robot arms, particularly those intended for collaborative applications. The initial focus was on improving the control of an existing single HPEA-driven rotary joint. The torque is produced by four pneumatic cylinders connected in parallel with a small DC motor. The DC motor is directly connected to the output shaft. A cascaded control system is designed that consists of an outer position control loop and an inner pressure control loop. The pressure controller is based on a novel inverse valve model. High precision position tracking control is achieved due to the combination of the model-based pressure controller, model-based position controller, adaptive friction compensator and offline payload estimator. Experiments are performed with the actuator prototype rotating a link and payload with a rotational inertia equivalent to a linear actuator moving a 573 kg mass. Averaged over five tests, a root-mean-square error of 0.024° and a steady-state error (SSE) of 0.0045° are achieved for a fast multi-cycloidal trajectory. This SSE is almost ten times smaller than the best value reported for previous HPEAs. An offline payload estimation algorithm is used to improve the control system’s robustness. The superior safety of the HPEA is shown by modeling and simulating a constrained robot-head impact, and comparing the result with equivalent electric and pneumatic actuators. This research produced two journal papers. Since HPEAs are redundant actuators that combine the large force, low bandwidth characteristics of pneumatic actuators with the large bandwidth, small force characteristics of electric actuators, the effect of using optimization-based input allocation for HPEAs was studied. The goal was to improve the HPEA’s performance by distributing the required input (force or torque) between the redundant actuators in accordance with each actuator’s advantages and limitations. Three novel model-predictive control (MPC) approaches are designed to solve the position tracking and input allocation problems using convex optimization. The approaches are simulated on a HPEA-driven system and compared to a conventional linear controller without active input allocation. The first MPC approach uses a model that includes the dynamics of the payload and pneumatics; and performs the motion control using a single loop. The latter methods simplify the MPC law by separating the position and pressure controllers. Although the linear controller is the most computationally efficient, it is inferior to the MPC-based controllers in position tracking and force allocation performance. The third MPC-based controller design demonstrated the best position tracking with root mean square errors of 46%, 20%, and 55% smaller than the other three approaches. It also demonstrated sufficient speed for real-time operation. This research produced one journal paper. The research continued with the design and implementation of a two degree-of-freedom HPEA-driven arm. A HPEA-driven “elbow” joint is designed and added to the existing “shoulder” joint. The force from a single pneumatic cylinder is converted into torque using a 4-bar linkage. To eliminate backlash and keep the weight of the arm low, a 2nd smaller DC motor is directly connected to the joint. The kinematic and kinetic models of the new arm, as well as the geometry of the new elbow joint are studied. The resulting joint design is implemented, tested and controlled. This joint could achieve a SSE of 0.0045° in spite of its nonlinear joint geometry. The arm is experimentally tested for simultaneous tracking control of the two joints, and for end-effector position tracking in Cartesian space. The end-effector is able to follow a circular trajectory in pneumatic mode with position errors below 0.005 m. / Thesis / Doctor of Philosophy (PhD) / Robots that work with, or near, humans require greater safety considerations than other robots. A significant concern is collisions between the robot and humans that may happen when sensors or software fails. An actuator for robots that combines the inherent safety of pneumatic actuators with the accuracy of electric actuators, termed a “hybrid pneumatic electric actuator” (HPEA), is investigated. The design, instrumentation, modelling, and control of HPEAs are studied theoretically and experimentally. The proposed actuator could achieve high position control accuracy in a variety of experiments, with steady state error of less than 0.0045 degrees. Simulated impacts with a human head also showed that a HPEA-driven robot arm can achieve a 52% lower impact force, compared to an arm driven by conventional electric actuators. The HPEA design and control experiments are performed on a single HPEA-driven joint and extended to an arm consisting of two HPEA-driven revolute joints.

The development needs of handling and ride vehicle dynamic characteristics are constantly evolving, crucial for safety and comfortable commute since many active safety and driver assistance systems depend on these characteristics. Ride improvements enhance passenger comfort, which plays a significant role in quality and brand value. Chassis and suspension systems greatly influence these vehicle dynamic characteristics. These systems should provide stability, high precision and a high degree of adaptive performance with quick response time. One of the ways to achieve these demands is by incorporating mechatronics suspension systems. Semi-active and fully active mechatronics suspension systems offer passengers a more comprehensive range of vehicle characteristics in terms of driving experience than vehicles with purely mechanical suspension systems. The efficient implementation of mechatronics suspension systems depends on the controller type and how its commands are realised. A typical control strategy is to decide a desired behaviour on the vehicle body and realise that behaviour with the help of the semi-active or active actuators. This work focuses on the realisation of the modal coordinate controller commands that counteracts the undesired body motions. The commands are in vehicle body coordinates with respect to the COG of the vehicle. The biggest challenge is to translate these counteracting forces and torques into semi-active damper vertical forces. This challenge is addressed with different algorithms with different levels of complexity and capability. The complexity ranges from the linear system of equations to real-time optimisation. Essentially, the algorithms will fragmentise and distribute the centralised command among different actuators and finally realise them back as close as commanded by taking the actuator and other physical limitations into account. This work also focuses on developing relative weights tuning methods, which play a significant role in the cost function formation and optimisation solution. The algorithms are evaluated in three different road conditions to incorporate typical driving environments related to primary and secondary rides. The enhancements in the ride performance are visualised by comparing against the existing methodology. The conclusions strongly support the optimisation-based force allocation algorithm over the existing method. It enables significant improvements in the ride performance and a high degree of flexibility by efficiently distributing commands among four actuators, which results in utilising the full potential of the semi-active dampers. / Utvecklingsbehoven för fordons dynamiska egenskaper med avseende på åkkomfort och köregenskaper är ständigt föränderliga och är avgörande för säkerheten och bekväm pendling eftersom många aktiva säkerhets- och förarassistanssystem är beroende av dessa egenskaper. Åkkomfortförbättringar förbättrar passagerarnas komfort, vilket spelar en betydande roll för kvalitet och märkesvärde. Chassi och fjädringssystem påverkar i hög grad dessa fordonsdynamiska egenskaper. Dessa system ska ge stabilitet, hög precision och en hög grad av adaptiv prestanda med snabb responstid. Ett av sätten att uppnå dessa krav är genom att införliva mekatroniska fjädringssystem. Semiaktiva och fullt aktiva mekatronikfjädringssystem erbjuder passagerare ett mer omfattande utbud av fordonsegenskaper när det gäller körupplevelse än fordon med rent mekaniska upphängningssystem. Ett effektivt genomförande av semiaktiva eller aktiva fjädringssystem beror på styrenhetstypen och hur styrenhetens kommandon är realiserade. En typisk reglerstrategi är att bestämma ett önskat beteende på fordonets kaross och realisera det beteendet med hjälp av de semiaktiva eller aktiva dämparna. Detta arbete fokuserar på förverkligandet av de modala koordinatstyrkommandon som motverkar oönskade kroppsrörelser. Kommandona beskrivs i fordonskroppens koordinater med avseende på fordonets tyngdpunkt (COG). Den största utmaningen är att översätta dessa motverkande krafter och vridmoment till vertikala krafter för stötdämparna. Denna utmaning hanteras med olika algoritmer med olika nivåer av komplexitet och kapacitet. Komplexiteten sträcker sig från det linjära ekvationssystemet till optimering i realtid. I huvudsak kommer algoritmerna att fragmentera och distribuera det centraliserade kommandot bland olika dämpare och slutligen förverkliga dem tillbaka så nära kommandot som möjligt genom att ta hänsyn till ställdonet och andra fysiska begränsningar. Studien fokuserar också på att utveckla justeringsmetoder för relativa vikter, som spelar en viktig roll i kostnadsfunktionsbildningen och optimeringslösningen. Algoritmerna utvärderas under tre olika vägförhållanden för att inkludera typiska körmiljöer relaterade till primär och sekundär åkkomfort. Förbättringarna i körprestandan visualiseras genom att jämföra mot den befintliga metoden. Slutsatserna stöder starkt en optimeringsbaserad kraftallokeringsalgoritm över den befintliga metoden. Algoritmen möjliggör betydande förbättringar av prestandan och en hög grad av flexibilitet genom att effektivt fördela kommandot bland fyra ställdon, vilket resulterar i att utnyttja den fulla potentialen för de semiaktiva dämparna.