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2014, International Journal of Computer Applications
This paper proposes a thorough algorithm that can tune the walking parameters (hip height, distance traveled by the hip, and times of single support phase SSP and double support phase DSP) to satisfy the kinematic and dynamic constraints: singularity condition at the knee joint, zero-moment point (ZMP) constraint, and unilateral contact constraints. Two walking patterns of biped locomotion have been investigated using the proposed algorithm. The distinction of these walking patterns is that the stance foot will stay fixed during the first sub-phase of the DSP for pattern 1, while it will rotate simultaneously at beginning of the DSP for pattern 2. A seven-link biped robot is simulated with the proposed algorithm. The results show that the proposed algorithm can compensate for the deviation of the ZMP trajectory due to approximate model of the pendulum model; thus balanced motion could be generated. In addition, it is shown that keeping the stance foot fixed during the first sub-phase of the DSP is necessary to evade deviation of ZMP from its desired trajectory resulting in unbalanced motion; thus, walking pattern 1 is preferred practically.
International Journal of Advanced Computer Science and Applications
The research works contained in this paper are focused on the generation of a stable walking pattern of a biped robot and the study of its dynamic equilibrium while controlling the two following criteria; the centre of gravity COG and the zero-moment point ZMP. The stability was controlled where the biped have to avoid collision with obstacle. The kinematic constraints were also taken into consideration during the walking of the biped robot. In fact, the generation of the walking patterns is composed of several stages. First, we used the Kajita method for the generation of the COG trajectory, based on the linear inverted pendulum LIPM during the simple support phase SSP and linear pendulum model LPM during double support phase DSP. After that, we used two 4 th spline function to generate the swing foot trajectory during the SSP and we used exact formulate for the foot trajectory during DSP. Finally, Newton's algorithm was performed (at the level of the inverse geometric model), in order to calculate the different joints according to the desired trajectories of the hip and the feet. Ground reaction forces were also determined from the dynamic model to satisfy the kinematic constraints on both feet of the biped. The generation of walking is done for two different speeds. To study the biped balance, ZMP generation algorithm was performed during the different walking phases and the results obtained for the two cases were compared.
International Journal of Intelligent Systems and Applications, 2014
This paper addresses three issues of motion planning for zero-moment point (ZMP)-based biped robots. First, three methods have been compared for smooth transition of biped locomotion from the single support phase (SSP) to the double support phase (DSP) and vice versa. All these methods depend on linear pendulum mode (LPM) to predict the trajectory of the center of gravity (COG) of the biped. It has been found that the three methods could give the same motion of the COG for the biped. The second issue is investigation of the foot trajectory with different walking patterns especially during the DSP. The characteristics of foot rotation can improve the stability performance with uniform configurations. Last, a simple algorithm has been proposed to compensate for ZMP deviations due to approximate model of the LPM. The results show that keeping the stance foot flat at beginning of the DSP is necessary for balancing the biped robot.
This paper presents the design of a biped robot, the walking trajectory generation method, and experimental results about biped walking. Walking trajectory generation is one of the deterministic factors in walking robot applications. Different approaches for stable walking trajectory are worked on in robotic research. The linear inverted pendulum model (LIPM) is an effective method used with the zero moment point (ZMP) criteria. Biped robot trunk and feet moving patterns are generated depending on these fundamental methods. In this study, generated trajectories were tested by a 12 degree of freedom (DOF) biped robot RUBI built at Dokuz Eylül University. In the experimental work, the joint angles obtained by using inverse kinematics from the generated trajectories were implemented on the robot. The results showed that even with a simple control system implementation of generated trajectories is very promising in terms of stability and reducing complexity.
Biped robots have better mobility than conventional wheeled robots, but they tend to tip over easily. To be able to walk stably in various environments, such as on rough terrain, up and down slopes, or in regions containing obstacles, it is necessary for the robot to adapt to the ground conditions with a foot motion, and maintain its stability with a torso motion. When the ground conditions and stability constraint are satisfied, it is desirable to select a walking pattern that requires small torque and velocity of the joint actuators. In this paper, we first formulate the constraints of the foot motion parameters. By varying the values of the constraint parameters, we can produce different types of foot motion to adapt to ground conditions. We then propose a method for formulating the problem of the smooth hip motion with the largest stability margin using only two parameters, and derive the hip trajectory by iterative computation. Finally, the correlation between the actuator specifications and the walking patterns is described through simulation studies, and the effectiveness of the proposed methods is confirmed by simulation examples and experimental results.
Legged machines have not been offered biologically realistic movement patterns and behaviours due to the limitations in kinematic, dynamics and control technique. When the degrees of freedom (DOF) increases, the robot becomes complex and it affects the postural stability. A loss of postural stability of biped may have potentially serious consequences and this demands thorough analysis for the better prediction and elimination of the possibility of fall. This work presents the modelling and simulation of twelve degrees of freedom (DOF) biped robot, walking along a pre-defined trajectory after considering the stability in sagittal and frontal planes based upon zero moment point (ZMP) criterion. Kinematic modelling and dynamic modelling of the robot are done using Denavit-Hartenberg (DH) parameters and Newton-Euler algorithm respectively. This paper also proposes Levenberg-Marquardt method for finding inverse kinematic solutions and determines the size of the foot based on ZMP for the stable motion of biped. Biped robot locomotion is simulated, kinematic and dynamic parameters are plotted using MATLAB. Cycloidal gait trajectory is experimentally validated for a particular step length of the biped.
2017
This paper presents energy and stability functions, integrating the stability parameters of the Zero Moment Point (ZMP) classed bipeds where stability parameters are the positions of Center of Mass (CoM) and ZMP respectively. The Energy function is derived using the concept of Orbital Energy and is optimized using Real Coded Genetic Algorithm to produce an optimum set of walk parameters, which consumes minimum energy, during walking. A Stability function is also proposed, which is obtained by modifying the pre-existing ZMP trajectory. The ZMP trajectory is modified in such a manner, that it remains at the center of the convex hull, not only during the single support phase, but also during the transition of the robot from the Double Support Phase (DSP) to Single Support Phase (SSP) and vice-versa. The analytical results show that, when the energy function is optimized, the stability of the robot decreases. Similarly, if the stability function is optimized, the energy consumed by the ...
Fast motion of bipeds is an interesting subject for researchers. It is well known that for a specified biped, with certain physical parameters and actuation capability, change of kinematic parameters of motion may change the speed of motion. Among such parameters is the share of single support phase (SSP) in one complete step. This work presents a parameter study in which a phase-plane analysis for minimum time motion of a biped is used to find maximum speed of biped for different values of SSP share in one step. A frame work is given for minimum time solution which fulfills zero moment point criteria for stability and friction condition for slippage prevention in addition to some kinematic constraints which guarantees normal pattern for walking. Parameter study is done through numerical simulation using the introduced algorithm.
Artificial Life and Robotics, 2011
This paper describes the control of a biped robot, that uses an inverted pendulum for its balance. A control method that consists of the balance of the gaits, through the correction of the lateral and longitudinal angles of the pendulum is proposed in this work. This method p resents three phases: first t he trajectory of the foot i n movement is defined, applying the inverse kinematics to calculate the robot's internal angles, and the direct kinematics is used to ob tain the positions and o rientations of the robot's joints; then the linear and angular accelerations are obtained; l ast, the zero moment point (ZMP) is calculated as a verification parameter of the requested margin of stability. Simulation of the robot gaits to walk in horizontal, sloping plans, and up and down stairs is also made. In order to decrease the calculation time of the dynamic stability, the impact of using zero pendulum angles as starting points for the interactive process of achieving the desire...
Intelligent Engineering Systems through Artificial Neural Networks Volume 18, 2008
In this paper, we show that a biped robot can walk dynamically using a simple control technique inspired from human locomotion. We introduce four critical angles that affect robot speed and step length. Our control approach consists in tuning the PID parameters of each joint in each walking phase for introducing active compliance and then to increase stability of the walk. We validated the control approach to a dynamic simulation of our 14DOF biped called ROBIAN. A comparison with human walking is presented and discussed. We prove that we can maintain robot stability and walk cycle's repetition without referencing a predefined trajectory or detecting the center of pressure. Results show that the walk of the biped is very similar to human one. A power consumption analysis confirms that our approach could be implemented on the real robot ROBIAN.
IFAC Proceedings Volumes, 2013
Analytical techniques are presented for the motion planning and control of a 10 degree-of-freedom biped walking robot. From the Denavit-Hartenberg method and Newton-Euler equations, joint torques are obtained in terms of joint trajectories and the inverse dynamics are developed for both the single-support and double-support cases. Physical admissibility of the biped trajectory is characterized in terms of the equivalent force-moment and zero-moment point. This methodology has been used to obtain stability of walking biped robot Archie developed in IHRT. A simulation example illustrates the application of the techniques to plan the forward-walking trajectory of the biped robot.
in Proc. The 13th IASTED …, 2007
The control of a biped humanoid is a difficult task due to the hard-to-stabilize dynamics. Walking reference trajectory generation is a key problem. Reference generation techniques with the so-called Linear Inverted Pendulum Model (LIPM) are reported. Improved versions of the LIPM based reference generation are obtained by applying the Zero Moment Point (ZMP) Criterion, widely employed in the stability analysis of biped robot walk. Typically, the ZMP reference during a stepping motion is kept fixed in the middle of the supporting foot sole. This kind of reference generation lacks naturalness, in that, the ZMP in the human walk does not stay fixed, but it moves under the supporting foot. This paper proposes a reference generation algorithm based on single support foot ZMP references which move in directions parallel and perpendicular to the walking direction. A simple inverse kinematics based independent joint position controller is used in the full dynamics 3-D simulations with the model of a 12 Degrees of Freedom (DOF) biped robot. Simulation studies indicate that the moving ZMP references result in a more successful walk.
Walking principle of bipcd robot is clarified with Z M P (Zem Moment Point) concept, friction constraint, and inverted pendulum model in this paper. The stable waking condition is derived out with ZMF' constraint, friction constraint, and inverted pendulum model. With this result, the nature tbat the biped walking is in fact a continually acceleration and deceleration motion is presented and its walking velocity can be adjusted by controlling landing point. The desired ZMP trajectory is given out based on derived stable walking condition, and the motion parameters of bipcd robot, such as waking stride, period, and their restriction are investigated. The approach used in this paper is expected to exend to analyze the motion of running and jump robot.
2003
In this paper, we present a simple controller for a planar biped walking system based on a compass-like biped model. It is well known that a walking cycle can be divided into two basic phases: a double support phase and a single support phase. We note the key essential elements for each support phase and determine their relationships throughout the walking cycle, and utilize them for stable walking control. This paper is structured in two parts. In the first part, the relationship between step length and initial push-off speed is explored and was utilized in the double support phase to correctly prepare for the consequence ballistic-like movement prior to leg swing. In the second part, the relationship between the states of stance leg and the hip joint angle was utilized to prepare for the following single support phase. This is use to regulate stability between the step length and the upper body speed in realizing the controller.
Human-Robot Interaction, 2010
Biological Cybernetics, 2003
Based on mechanical analysis, three gait descriptors are found which should be controlled to generate cyclic gait of a seven-link humanoid biped in the sagittal plane: (i) step length, (ii) step time, and (iii) the velocity of the center of mass (CoM) at push off. Two of these three gait descriptors can be chosen independently, since the CoM moves almost ballistically during the swing phase. These gait descriptors are formulated as end-point conditions and are regulated by a model predictive controller. In addition, continuous controls at the trunk and knees are implemented to maintain the trunk upright and to ensure weight bearing. The model predictive controller is realized by quadratic dynamic matrix control, which offers the possibility of including constraints that are exposed by the environment and the biped itself. Specifying step length and CoM velocity at push off, the controller generates a symmetric and stable gait. The proposed control scheme serves as a general-purpose solution for the generation of a bipedal gait. The proposed model contains fewer parameters than other models, and they are all directly related to determinants of bipedal gait: step length, trunk orientation, step time, walking velocity, and weight bearing. The proposed control objectives and the model of humanoid bipedal walking have potential applications in robotics and rehabilitation engineering.
Lecture Notes in Control and Information Sciences, 2006
This paper deals with a methodology to design optimal reference trajectories for walking gaits. This methodology includes two steps : (i) to design a parameterized family of motions, and (ii) to determine by optimization the parameters that give the motion within this family that minimizes a criterion and satisfies some constraints. This approach is applied to a five link biped the prototype Rabbit. It has point feet and four actuators which are located in each knee and haunch. Rabbit is under actuated in single support since it has no actuated feet and is over actuated in double support. To take into account this under-actuation, a characteristic of the family of motions considered is that the four actuated joints are prescribed as polynomials in function of the absolute orientation of the stance ankle. There is no impact. The chosen criterion is the integral of the square of torques. Different technological and physical constraints are taken into account to obtain a walking motion. Optimal process is solved considering an order of treatment of constraints, according to their importance on the feasibility of the walking gait. Numerical simulations of walking gaits are presented to illustrate this methodology.
This paper deals with the stable walking of biped robots. The presented control algorithm enables a biped to perform stable walking without using any precomputed trajectories. The algorithm merges gait trajectory generation and control, and can be used for global control, for local control along an existing trajectory as well as for online computation of gait trajectories for stable walking. The inputs for the algorithm are a few parameters such as walking speed and step size. The performance of the algorithm is demonstrated by simulation.
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